Measuring the Quality of Signs …… (Lyudmyla Malyarets; Oleksandr Dorokhov)  1 

MEASURING THE QUALITY OF SIGNS 

FOR OBJECTS IN THE ECONOMY 
 

 

Lyudmyla Маlyarets1; Oleksandr Dorokhov2 

 
1Department of Mathematics, Faculty of Finance,  

Kharkiv National University of Economics, Kharkiv, Ukraine 
2Department of Information Systems, Faculty of Economics Informatics,  

Kharkiv National University of Economics, Kharkiv, Ukraine 
2aleks.dorokhov@meta.ua 

 

 

ABSTRACT 
 

 
The problems of measuring the quality attributes for different objects in the economy were considered. 

This article used methods of value measuring in the economy that were determined by the existing types. In this, it 

must distinguish between direct primary measurement, indirect measurement, joint and combined measurement. 

The different ways to solve it on the basis of joint measurement of qualitative and quantitative attributes inherent 

to economic facilities that were explored. Stages and elements of the quantities measurement processes in the 

economy were classified and analyzed. The corresponding mathematical methods and tools depending on the 

objectives and procedures of measurements were determined. The conceptual representation of an integral quality 

of the object in the economy as a generalizing indicator was proposed. It finds that it is possible to make general 

conclusions that underestimate the role of non-metric signs in the characterization of the object that is explained 

by their insufficient study and poorly developed mathematical tools to measure them. 

 

Keywords: quantities measurement in economy, object quality assessment, qualitative methods in economics 

 

 

INTRODUCTION 
 

 

Measuring the quality of attributes for objects in the economy is a very complex problem. It 

touches the foundations of quantities measurement in economics, in conditions of the lack of universally 

accepted and common general concepts of measurement and evaluation for quality attributes of 

economic objects of different nature and essence. However, consideration and resolution of this problem 

are extremely necessary to ensure the integrity of the data and the results of their subsequent analysis of 

the economy. 

 

If it is possible to distinguish one property from another for the economic object qualitatively, 

then it is possible to quantify it, to identify the units and methods of measurements, and the value of the 

properties under consideration. Thus, forming conditions for the formalization of the properties of the 

object to the signs and further studying this object using these signs, for example, is the measurement 

process in the economy (Malyarets, 2006; Ponomarenko & Malyarets, 2009). 

 

 

METHODS 
 

 

Methods of value measuring in the economy are determined by their existing types. In this, we 

must distinguish between direct primary measurement, indirect measurement, joint and combined 

measurement. Highlighted types of measurement can be regarded as procedures of variables 



 

2  Journal The WINNERS, Vol. 18 No. 1, March 2017: 1-11 

measurement technology. It is expedient to allocate the following elements of the measurement process 

in the economy: (1) object, measuring the quality of attributes for objects in the economy is a very 

complex problem as it touches the foundations of quantities measurement in economics. It is due to the 

lack of universally accepted and common general concepts of measurement and evaluation for quality 

attributes of economic objects of different nature and essence. However, consideration and resolution 

of this problem are extremely necessary to ensure the integrity of the data and the results of their 

subsequent analysis of the economy. If it is possible to qualitatively distinguish one property from 

another for the economic object, then it is possible to quantify it. It is also possible to identify the units 

and methods of measurements and the value of the properties under consideration. Thus, forming 

conditions for the formalization of the properties of the object to the signs and further studying this 

object using these signs, i.e., the measurement process in the economy (Malyarets, 2006; Ponomarenko 

& Malyarets, 2009). (2) Sign, the magnitude of the sign, the value of magnitude, means for measuring, 

methods, conditions, technologies, results, measurement errors, and the system of measurers. The means 

of value measuring in economics are the scales and various indicators (Borie, 2016; Knorring, 1983; 

Turk, 2011). Measurement methods depend on the kind of values; technical, economic, statistical and 

mathematical methods. The conditions of measurements can be manufacturing, accounting, statistical, 

and researching (Malyarets, 2006). 

 

In metrology, the definitions of the contents of separate individual elements of measurement are 

considered the science of measurement, although they refer only to the physical quantities. However, in 

this article, it is considered as features of the content of the measurement process which are due to the 

peculiarities of measurements in economics. Thus, the general scheme of stages for measuring of signs 

values in economics is shown in Figure 1. 

 

Taking into account the meaningful sense of values in economics, it is advisable to consider the 

measurement technology in the form of five procedural blocks; they are the procedure of formulation, 

the procedure of preparation, initial measurement, secondary measurement, and the procedure of 

measurement errors control. Each mentioned procedure is different by content and complexity, but only 

the third procedure that involves direct measurement, i.e., the operationalization of the measurement is 

carried out exactly in it. The remaining procedures form the conditions of operationalization and 

obtainment of measurement results, and its numerical values with the necessary accuracy. 

 

From the correct implementation of these procedures that depend on the accuracy of 

determining the values in the data analysis, consequently, the quality of economic management 

decisions shall be taken by the concerned person. The proposed scheme of the measurements stage of 

signs in the economy organizes this process well enough and is the only possible one in our opinion. 

Depending on the purpose of the value measurement, the individual stages of the overall technology 

may be missing. However, the logic in the sequence of actions, even in the abbreviated scheme should 

remain the same. 

 

The choice of mathematical tools for the measurement of values is restricted. The practice of 

solving real problems in the economy shows the advisability to use mathematical methods, the list of 

which is given in Table 1 (Knorring, 1983). 

 

 

 

 

 

 

 

 

 



 

Measuring the Quality of Signs …… (Lyudmyla Malyarets; Oleksandr Dorokhov)  3 

 1. Analysis of the purpose of determining  attribute magnitude of 
object  

2. Cognitive model formation 
3. Semantic model development 
4. Creation of conceptual model 
5. A priori definition of the object attributes as part of the socio-

economic system 

6. Determination of attribute type (elementary or complex) 
7. Determining of value type (metric or nonmetric) 
8. Refinement of kind in the case of metric values 
9. The choice of measurement method and its possible means 
10. Preliminary choice of data processing algorithm 
11. The priori estimation of measurement errors 
12. Choice of measurement system 
13. Determining the type of non-metric quantities and measuring 

scale 

14. Checking of scale 
15. Implementation of the technical measurement operation 
16. Conversion of metric quantity to indicator 
17. Giving quantities form for non-metric sign 
18. Homogeneity determination for sign quantity 
19. The choice of getting indicator method 
20. Formation of conceptual model of complex sign 
21. Development of mathematical model of complex sign 
22. The combined measurement of metric and non-metric values 

of complex sign 

23. Conversion of complex sign value to general indicator 
24. Formation of system of indicators 
25. Analysis of the results on methodological errors 
26. Analysis of the results on methodical errors 
27. Analysis of the results on technical errors 
28. Analysis of the results on personality errors 
29. Trouble shooting errors 
30. Result report of  value determining (considering errors), 

passage to a new measurement cycle 

 

Figure 1 General Scheme of Stages for Measuring of Signs Values in Economics 

 

 

Table 1 Tools to Determine the Values of Attributes and its Tasks 

 

Measuring Phase Recommended Tools Tasks of Toolkit 

1. Formulation Methods of structural logical analysis 
and synthesis of measurements target 

Determining the purpose of measurements, the 

development of cognitive, informative, 

conceptual models 

2. Preparation Methods of structural logical analysis 
and synthesis, methods of mathematical 

statistics 

Definition of a sign kind, preparation of metric 

and non-metric signs to measure its value 

3. Initial 
Measurement 

Devices of measuring equipment, scales 

of measurement, methods of managerial 

accounting 

Converting physical and non-physical quantities 

of elementary signs to indicator, giving the value 

to non-metric sign 

4. Secondary 
Measurement 

Methods of economic, mathematical and 

statistical analysis, other mathematical 

methods and models 

Conversion value to indicator; measuring the 

values of complex signs; formation of the system 

of measurers for acceptance of managerial 

decisions and further mathematical modeling 

5. Errors Control Methods of mathematical statistics, 
economic analysis, management 

Determination of the measurement errors at 

different stages 

7 6 13 2 

16 15 17 

19 20 18 

6 

22 21 23 24 

7 

1 

2 

4 3 5 

30 29 

29 

6 20 
29 

8 29 

9 

10 

11 

13 

14 

12 

26 27 25 28 

29 30 

1 



 

4  Journal The WINNERS, Vol. 18 No. 1, March 2017: 1-11 

In general, values in the economy can be divided into the basic physical values of elementary 

signs (which on this level of cognition can be quantified, extensive values) and derivatives physical 

values (obtained by means of basic physical values) (Danilov & Lambert-Mogiliansky, 2005; Malyarets, 

2006; Turk, 2011). In the second group, it can be distinguished such types of values, they are; (1) values 

with the dimension in physical units (obtained mainly by comparing the results and costs), (2) values 

without dimensions (coefficients, intensive values), (3) nonphysical values (metric values, obtained by 

certain transformations of physical values to the cost form of representation and their comparison), (4) 

synthesized metric values (define complex signs and objects in general), (5) Statistical metric values 

(showing mass signs for sets of objects in general, the extensive and intensive), (6) Non-metric values 

(reflecting qualitative characteristics of objects in economics, intensive, and qualitative, which are 

measured in non-metric scales). In general, this classification of values is represented in Figure 2. 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 
Figure 2 Classification for Values of Signs in the Economy 

 

 

The classification in Figure 2 makes it possible to objectively measure different values in 

economics to display changes in the values of basic characteristics and properties. Such an approach 

allows integrated and holistic diagnosis, evaluation, and control as a change in the very structure of the 

properties of an individual object, as well as a hierarchical system of groups of objects (in a cut of 

regions, of branches of economy, of state). Moreover, it provides the fundamental basis ensuring the 

unity and the adequacy of the measurement of values in the economy. 

 

 

RESULTS AND DISCUSSIONS 
 

 

The overall quality of the object in the economy represented by generalized characteristic is 

defined by metric and non-metric signs. The characteristic may be measured under the condition of 

modeling the object, its characteristics, properties, functioning, and development processes. The most 

known methods for construction of generalizing indices are based on quantitative indicators, for 

example, on the metric values. However, the characteristics of the object, based only on quantitative 

properties, limits its estimations, and in some cases, lead to inaccuracies in these estimations. A well-

The system of basic values (absolute and relative) signs of object 

Quantitative 

indicators 

of 

metric signs 

The values of signs 

measured  

through 

ordinal scales 

The values of signs 

measured  

through nominal 

scales 

… … 

System of derivative values (complex, generalizing) of object signs 

   

… 



 

Measuring the Quality of Signs …… (Lyudmyla Malyarets; Oleksandr Dorokhov)  5 

known issue of compounds and interconnections of different values characterizing the same objects 

remains real in the traditional theory of general measurement and now (Gomme & Rupert, 2007; 

Schwartz, 1985; Zeumo et al., 2012). 

 

There are practically no recommendations for the construction of generalizing indicator of 

quality on the basis of non-metric values of the object and a fortiori, the joint measurements. The object 

in economics is characterized by a complex system of signs, separating it to quantitative and qualitative, 

extensive and intensive, metric and non-metric. Therefore, the synergistic manifestation of systemic 

properties of the object is accumulated in its overall quality, as this is conceptually and simplistically 

shown in Figure 3. 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 
Figure 3 The Conceptual Representation of the Quality of the Object in the Economy 

 

 

Measuring the quality of an object is a measure of co-manifestations of all its properties 

(characteristics), which in the form of the mathematical model of the overall quality has to be 

multiplicative. It should be remembered that the laws and regularities of nature are quantitatively 

expressed by the relationship of physical quantities in the form of their multiplication. Accordingly, the 

construction of an economic and mathematical model of the object (or its signs) to determine the quality, 

in the main, reduces to finding an adequate numerical representation of the multiplicative type. The joint 

expression of quantitative and qualitative properties of an object is measured by generalizing metric 

value, based on the multiplicative compound of partial metric and non-metric values, reduced to 

comparable form by calibration. Calibration or converting of different values to the same measure is 

carried out through conversion functions to which number belongs desirability function of the individual 

values (metric and non-metric). Note that in this case can be allowed a different kind of desirability 

functions. Forms and properties of the desirability function for quantitative elementary and complex 

features are discussed in papers (Saaty, 2008; Schwartz, 1985). 

 

As it is known that each individual property of the object can be displayed on a separate sign, 

the value of which characterizes the measure (intensity) of this property, and form of the value of which 

is a partial indicator. Furthermore, the total value for the quality of an object is determined by the 

which are measured using scales 

Quality of the object as a whole (total) 

expressed by 

metric signs nonmetric signs 

interval of relations absolute of order 

quantitative indicators ordinal 

values 

for which  

the corresponding values 

take the form of 

nominal 

nominations 

(categories, 

predicates) 



 

6  Journal The WINNERS, Vol. 18 No. 1, March 2017: 1-11 

convolution of values of signs. This convolution can be done by various methods. The main problems 

in the modeling of generalizing indicators for quality of socioeconomic systems and the sequence of 

their solutions are presented in Figure 4 (Ponomarenko & Malyarets, 2009). 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 
Figure 4 The Logic of Modeling for Generalizing Indicator of Object Quality in Economy 

 

 

There are consideration ways to solve each problem separately. The first problem is the 

generalization of theoretical and practical knowledge about given sign, carrying out a statistical 

description of changing values for an indicator of the sign, and demonstrating its evolution. It can be 

solved based on the knowledge of experts (persons, making the decision) as a synthesis of theoretical 

and practical advances in the knowledge of this sign. It can also be solved by comparisons to the results 

of descriptive statistics to establish the contradictions in the actual change of sign quantity and taking 

into account the laws of its development. The second problem is the construction of conversion scales. 

By using it, it can carry out the conversion of economic indicators values (having their measurement 

units) in dimensionless scale. The solution here is conditioned by the results of solving the first problem 

and is a stage in the continuation of the measurement values of the economy because (due to 

transformation) the new values become comparable. There is evident that no matter how adequately 

built conversion scale is, it depends on the correctness of the results of procedures for secondary 

measuring the economy. 

 

The multiplicative form of synthesizing (total, generalizing) function can be used for the 

utilization of private indicators construction models and arithmetization models for the synthesis of the 

composite indicator (Gomme & Rupert, 2007). The grounds of this are the partial indicators represent 

the distribution functions of one-dimensional random values. Thus, their multiplication is a distribution 

function of - dimensional random variable with independent components. In this case, the value of 

summary indicator  qQ  at the point  0010 mq...,,qq   can be interpreted as the proportion of objects 
that having all the separate indicators values less than the value of 

00
1 mq...,,q because the predominates 

probability that randomly chosen object will be for all particular criteria concede to the corresponding 

 mq...,,qq 1 . 
 

The geometric average  qQ*  is one of the most used generalizing average values that well 
studied from the standpoint of auto-arithmetization of numerical scales. The generalization of the 

The construction of scales for values transformations for 

indicators of signs 

The determination the main points for phase changes of 

values for indicators of signs 

The determination of a particular type  

The generalization of theoretical and practical knowledge 

about sign of system, implementation of descriptive 

statistics of signs 

 

The construction of generalized (integrated) conversion 

function 



 

Measuring the Quality of Signs …… (Lyudmyla Malyarets; Oleksandr Dorokhov)  7 

concept of auto-arithmetization for real numbers scale, obtained through the use of isomorphisms 

between the set of all real numbers and its various subsets, allows expanding the class of continuous 

strictly monotone mappings , which are used to make various types of generalized average  qQ
(Hovanov, 1996). 

 

Note that the partial functions calibrating values (normalizing functions) must be monotonous 

and can be interpreted as functions of the distribution of some random values. The domain of definition 

for the non-monotonic function can be separated into a small number of connected areas of 

monotonicity. It can also introduce the appropriate amount of positive particular indicators, 

monotonically dependent on corresponding initial characteristics. Danilov & Lambert-Mogiliansky 

(2005) have proved the feasibility of using conversion functions ijy  for the values of quantitative 

indicators (desirability functions) that having certain tendencies of change. For bilateral asymmetric 

development, here are the tendencies of signs: 

 
























































,,for,100

,,for,100

2

2

3

3

iiiij

ac

ax

iiiij

ab

ax

ij

acaxe

abaxe
y

ii

iij

ii

iij

 

 

where ia , ii cb , – fiducials values: ia –the most appropriate value of the index ijx in which the 

transformation function reaches its maximum value 1 or 100%;  iiii cbc,b  – the unsatisfactory 

value of the index ijx (on both sides of the best value mentioned above) at which the transformation 

function reaches a value not greater than 0,05 or 5%. When symmetrical trends are in the development 

of sign, the transformation function reaches the value 1 or 100% at
2

ii
i

cb
a


 . At that function, it 

acquires much simpler form: 
2

3

100
















 ii

iij

ab

ax

ij ey or

2

3

100
















 ii

iij

ac

ax

ij ey . 

 

For unilateral types of evolution, are used monotone functions: 

 

ii

iij

pq

pxij

e

y










1

100
, 

where iq – values of the index ijx at which the transformation function reaches the value not less than 

0,95 or 95%; ip – values of the index ijx at which the transformation function reaches the value 0,5 or  

50%. 

 

Separate conversions of non-metric values are made using desirability functions of quality 

indicators that are measured by using a nominal and ordinal scale. In its turn, data desirability functions 

are discrete functions and are defined in the tabular form. A particular type of these functions is due to 

the specific traits of concrete non-metric values. 

 



 

8  Journal The WINNERS, Vol. 18 No. 1, March 2017: 1-11 

Qualitative sign measured using a nominal scale is expressed by magnitude of intensity of the 

quality’s display and may take the following nominations (conformity to five standard estimations on a 

scale of desirability for the values of quantitative signs (Danilov & Lambert-Mogiliansky, 2005; 

Knorring, 1983; Schwartz, 1985) – very low, low, medium, strong, very strong. In expanded variant: 

very low, low, medium, enough strong, strong, very strong. The given list of nominations can be 

extended. 

 

The qualitative sign can be represented by a variety of equivalent nominations that are not 

characterized by the intensity of manifestation of the value. A separate nomination of the quality sign is 

put into correspondence with the quantitative value of the desirability function. Finally, briefly mention 

the problem of constructing generalizing indicator of quality on the basis of ordinal (measured by ordinal 

scales) signs of production and business activities of the economic object. As mentioned above, the non-

quantitative property of an object can be expressed quantitatively by means of its degrees of intensity 

(Danilov & Lambert-Mogiliansky, 2005). Depending on the order or rank of degrees, it sets their 

quantitative estimations (points) and thus carries quality measurement using ordinal scales. 

 

The established point, for example, 1, 2, 3, 4, 5, is the quantitative expression of quality 

nominations of object properties (very low, low, medium, strong, and very strong). In order to establish 

points in expressing the qualitative sign, various methodologies are developed and used. However, 

almost all of them are based on the stimulus of the measured value (Knorring, 1983). For a joint 

measure of ordinal signs, it is necessary to calibrate the set scores using desirability functions. In the 

article (Borie, 2016; Saaty, 2008) is given an example of calibration of ordinal signs according to a 

questionnaire survey and its processing. The essence of the approach that obtained scores is put into the 

correspondence of a certain value of the desirability function (in accordance with their importance and 

differences). 

 

As an example of the implementation of the proposals for the development of a generalization 

indicator, the authors will determine the assessment of the foreign economic activity of the company 

"Turboatom" in the city of Kharkiv (Ukraine). The foreign economic activity of this enterprise is 

characterized by certain key economic indicators, which are different metric values. These are the 

performance indicators: 1x  - currency efficiency of export, 2x - economic efficiency of export, 3x  - 

efficiency of product sales in the domestic market. These are the indicators of changes dynamics 1y - 

index of the value of exported products, 2y -index of prices of exported products, 3y -physical volume 

index of exported products, 4y -index of structure of exported products, 5y - realization of the plan for 

export, 6y - realization of the sales plan on the domestic market. These are the indicators of structural 

shifts and rational that use of funds 3z  - proportion of overhead costs in the cost of exports, and 4z - 

сoefficient of return on funds invested in export operations. 

 

According to the logic of developing a generalizing indicator, the value of each of the partial 

indicators of the enterprise during the last five years has been converted quarterly by function: 

 

 
ii

iij

pq

pxij

e

y










1

100

.       (1) 

 

 

s



 

Measuring the Quality of Signs …… (Lyudmyla Malyarets; Oleksandr Dorokhov)  9 

 

 

 

 
 

Figure 5 Functions of the Transformation of Partial Indices of the Enterprise 

 

 

Figure 5 shows the graphs of transformation functions. The value of the generalization indicator 

is calculated as the geometric mean of integral indicator of efficiency of activity ( xI ), integral indicator 

of changes dynamics ( yI ), and integral indicator of structural shifts and rational use of funds ( zI ), 

namely 31 zyx IIII  . 

 

0

0,1

0,2

0,3

0,4

0,5

0,6

0,7

0,8

0,9

1

0,14 0,16 0,18 0,2 0,22 0,24

x1

Y1

0,3

0,4

0,5

0,6

0,7

1,1 1,12 1,14 1,16 1,18 1,2

x2

Y2

0,3

0,4

0,5

0,6

0,7

1,1 1,13 1,16 1,19 1,22 1,25 1,28
x3

Y3

0

0,1

0,2

0,3

0,4

0,5

0,6

0,7

0,8

0,9

1

0,7 0,85 1 1,15 1,3 1,45

y1

Y4

0

0,1

0,2

0,3

0,4

0,5

0,6

0,7

0,8

1 1,05 1,1 1,15

y2

Y5

0

0,1

0,2

0,3

0,4

0,5

0,6

0,7

0,8

0,9

1

0,7 0,85 1 1,15 1,3 1,45

y3

Y6

0

0,1

0,2

0,3

0,4

0,5

0,6

0,7

0,8

0,9

1

0,7 0,85 1 1,15 1,3 1,45

y4

Y7

0

0,1

0,2

0,3

0,4

0,5

0,6

0,7

0,8

0,9

1

0,8 0,9 1 1,1 1,2
y5

Y8

0

0,1

0,2

0,3

0,4

0,5

0,6

0,7

0,8

0,9

1

0,9 1 1,1 1,2

y6

Y9

0,2

0,3

0,4

0,5

0,6

0,7

0,8

0,11 0,115 0,12 0,125 0,13

z3

Y10

0

0,1

0,2

0,3

0,4

0,5

0,6

0,7

0,8

6,2 6,4 6,6 6,8 7 7,2

z4

Y11



 

10  Journal The WINNERS, Vol. 18 No. 1, March 2017: 1-11 

Generalizing 

indicator 

Quarters 

Based on the graph in Figure 6, it can draw conclusions about the dynamics of the functioning 

of the foreign economic activity of this enterprise. 

 

 

 

 

 

 

 

 

 

 

 

 
 

Figure 6 Dynamics of the Generalizing Indicator of Foreign Economic Activity  

for Enterprise "Turboatom" (2015-2016) 

 

 

The dynamics of the generalization indicator demonstrate the tendency of non-rhythmic 

operation of the enterprise. It has a downturn and low values of the generalized index since the first 

quarter, except for the eighth quarter. After analyzing the indicators of foreign economic activity of this 

company, it can conclude that in general that the efficiency is low. And the economic efficiency of 

exports ( 2x ) is less than the efficiency of sales of products in the domestic market ( 3x ).In order to 

determine which factors caused the low values of the generalizing index of the enterprise in the future, 

it is expedient to construct a tree of the level of quality. 

 

 

CONCLUSIONS 
 

 

The proposed methodology for the construction of generalizing indicator of quality allows an 

architectonically measurement of all properties of an object in economics; metric and non-metric. 

Credibility and validity of the developed approach provide not only the collaborative synthesis and 

comprehensiveness measurement of metric and non-metric values but also the possibility of spatial and 

temporal comparisons of them and objects of measurement itself. 

 

Existing attempts at constructing and assessing the quality of the objects in economics based on 

the combination of values obtained by different mathematical transformations. Considering them as the 

first approximation in the knowledge of the object, in principle, they should be not rejected. However, 

all methods are limited to the synthesis of metric or (at best) ordinal signs, without taking into account 

the nominal signs of the object. Thus, generalizing quality of the object should be determined by the 

formula , where  - generalizing quality of metric attributes index;  - 

generalizing index of sign’s quality on ordinal scales; nomI  - generalizing index of sign’s quality on 

nominal scales. An alternative for more general case
31 2 nn nN

y m ord nom
I I I I   , where 321 nnnN 

, 321 n,n,n - weight coefficients for the importance of signs. In summary, it is possible to make general 

conclusions that underestimate the role of non-metric signs in the characterization of the object that is 

explained by their insufficient study and poorly developed mathematical tools to measure them. 

 

3
y m ord nom

I I I I  
m

I
ord

I



 

Measuring the Quality of Signs …… (Lyudmyla Malyarets; Oleksandr Dorokhov)  11 

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