IJAHP: Kahraman/Special topic articles on fuzzy AHP 

 

 
 
 

International Journal of the 

Analytic Hierarchy Process 

312 Vol. 10 Issue 3 2018 

ISSN 1936-6744 
https://doi.org/10.13033/ijahp.v10i3.628 

 

Special Topic Articles on Fuzzy AHP: Part-2 

 

 

In  the special topic articles of this issue,  three  papers  on  the  theoretical  

development  and/or  practical  usage  of Fuzzy AHP are presented. The first paper, 

Solar PV Power Plant Location Selection Using a Z-Fuzzy Number Based AHP by 

Irem Otay and Cengiz Kahraman is on the selection of a location for a solar energy 

PV plant using a four-level hierarchy. The authors consider several main and sub-

criteria including initial cost, maintenance cost, slope, and distance to highways. The 

study solves the multi-criteria solar PV power plant location selection problem with a 

Z-fuzzy based AHP method. A Z-fuzzy number is a relatively new concept in the 

fuzzy set theory that considers the reliability assigned to an ordinary fuzzy number 

and enables one to circumvent the limitations of ordinary fuzzy numbers. The  second  

paper, Interval-Valued Neutrosophic AHP with Possibility Degree Method by Eda 

Bolturk and Cengiz Kahraman is on the development of an interval-valued 

neutrosophic AHP method by employing the possibility degree method for ranking 

interval numbers in this method. Pairwise comparison matrices are filled in by using 

linguistic terms and the relative importance degrees of criteria are obtained. An 

application of the proposed method is given in the area of energy planning. 

Comparative and sensitivity analyses are also presented in the paper. The third paper, 

Prioritization of Alternatives Based on Analytic Hierarchy Process Using Interval 

Type-2 Fuzzy Sets by Konstantin Yury Degtiarev and Mikhail Yury Borisov presents 

a model assigning weights to the constraints based on expert assessments. An interval 

type-2 membership functions based fuzzy AHP is presented. The main objective of 

the paper is to develop an approach which would make it possible to integrate an 

expert's confidence degree into FAHP model. 

 

I  hope  this  section  will  provide  a  useful  resource  of  ideas,  techniques  and  

methods for research  on  fuzzy  AHP.  I  am  grateful to  the  referees  whose  

valuable  and  highly appreciated work contributed to the selection of the papers 

published in this section. I  would  like  to  thank  the Editor-in-Chief, Enrique  Mu 

and  Associate  Editor, Birsen Karpak for their supportive roles in this process. 

 

Cengiz Kahraman  

Guest Editor 

Department of Industrial Engineering  

Istanbul Technical University, 34367  

Besiktas, Istanbul, Turkey