Fuzzy analytic hierarchy process for pentagonal fuzzy numbers …
2023年7月10日 · To overcome this flaw, we develop four FAHP methods for pentagonal FNs (PFNs). We also use an indirect method to defuzzify the fuzzy local weights. Indirect defuzzification is a simple method equivalent to the center of gravity (COG) method and needs low computations. Numerical examples are used to illustrate the proposed methods.
Extended Fuzzy Analytic Hierarchy Process (E-FAHP): A General …
2014年8月11日 · This paper proposes an extended FAHP model (E-FAHP) where pairwise fuzzy comparison matrices are represented by a special type of fuzzy numbers referred to as (m,n)-trapezoidal numbers (TrN (m,n)) with nonlinear membership functions.
When should fuzzy analytic hierarchy process be used instead of ...
2019年10月1日 · In the extension analysis, we verify the robustness of the results derived from Section 3 for the case of trapezoidal fuzzy numbers, and further demonstrates that the difference attained by the trapezoidal FAHP may not be greater than that obtained by the triangular FAHP.
Extended Fuzzy Analytic Hierarchy Process (E-FAHP): A
2020年11月12日 · This paper proposes an extended FAHP model (E-FAHP) where pairwise fuzzy comparison matrices are represented by a special type of fuzzy numbers referred to as (m,n)-trapezoidal numbers (TrN...
this context, two different fuzzy AHP (FAHP) methods based on fuzzy numbers ranking methods have been proposed and these proposed methods are compared with commonly accepted FAHP methods. Magnitude‐ based fuzzy AHP (MFAHP), which is one of the pro-posed methods, has outperformed all other methods according to accurate weight and computational ...
Fuzzy Analytic Hierarchy Process (FAHP) | SpringerLink
2022年9月23日 · The Fuzzy Analytic Hierarchy Process (FAHP) method is presented in this chapter which can be accommodating to a kind of implicit factorial management problems. A typical fuzzy aseismic design problem is also presented for further analyzing the implicit relationship of the event.
Fuzzy Analytic Hierarchy Process (FAHP) is a well-known method which is currently used by many researchers all around the world. However, the problem lies where the...
Deriving Fuzzy Weights from the Consistent Fuzzy Analytic ... - MDPI
2022年9月25日 · In this paper, we propose a novel model based on mathematical programming to derive rational fuzzy weights of the FAHP and provide a parameter for decision-makers to control the spread of fuzzy weights. Three examples are used to demonstrate the proposed method and compared with others to validate and justify the proposed method. 1. Introduction.
Fuzzy Analytical Hierarchy Process with Unsymmetrical Triangular …
2019年10月27日 · This research is proposed a FAHP with unconventional TFN, which allow the expert give his/her own fuzzy number for each comparison. We name the number as the Unsymmetrical Triangular Fuzzy Number, in which the membership function is still in the shape of triangular but the shape is not symmetric.
Fuzzy Analytic Hierarchy Process: A performance analysis of …
2019年5月1日 · Whereas Fuzzy AHP (FAHP) algorithms use fuzzy numbers to represent the same preferences and they are recorded in corresponding fuzzy comparison matrices. Main motivation behind incorporating fuzzy set theory into original AHP is based on the argument that human judgments and preferences cannot be accurately represented by crisp numbers due to ...