A DEMATEL-TODIM based decision framework for PV power generation project in expressway service area under an intuitionistic fuzzy environment

2020 ◽  
Vol 247 ◽  
pp. 119099 ◽  
Author(s):  
Yunna Wu ◽  
Chenghao Wu ◽  
Jianli Zhou ◽  
Buyuan Zhang ◽  
Chuanbo Xu ◽  
...  
Keyword(s):  
Power Generation ◽  
Service Area ◽  
Decision Framework ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Pv Power Generation

scholarly journals A Scientific Decision Framework for Supplier Selection under Interval Valued Intuitionistic Fuzzy Environment

2017 ◽  
Vol 2017 ◽  
pp. 1-18 ◽  
Author(s):  
R. Krishankumar ◽  
K. S. Ravichandran ◽  
R. Ramprakash
Keyword(s):  
Supplier Selection ◽  
Second Phase ◽  
Decision Framework ◽  
Loss Of Information ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Criteria Weights ◽  
Two Phases ◽  
Scientific Decision ◽  
Interval Valued

This paper proposes a new scientific decision framework (SDF) under interval valued intuitionistic fuzzy (IVIF) environment for supplier selection (SS). The framework consists of two phases, where, in the first phase, criteria weights are estimated in a sensible manner using newly proposed IVIF based statistical variance (SV) method and, in the second phase, the suitable supplier is selected using ELECTRE (ELimination and Choice Expressing REality) ranking method under IVIF environment. This method involves three categories of outranking, namely, strong, moderate, and weak. Previous studies on ELECTRE ranking reveal that scholars have only used two categories of outranking, namely, strong and weak, in the formulation of IVIF based ELECTRE, which eventually aggravates fuzziness and vagueness in decision making process due to the potential loss of information. Motivated by this challenge, third outranking category, called moderate, is proposed, which considerably reduces the loss of information by improving checks to the concordance and discordance matrices. Thus, in this paper, IVIF-ELECTRE (IVIFE) method is presented and popular TOPSIS method is integrated with IVIFE for obtaining a linear ranking. Finally, the practicality of the proposed framework is demonstrated using SS example and the strength of proposed SDF is realized by comparing the framework with other similar methods.

How to realize the effect of air pollution control? A hybrid decision framework under the fuzzy environment

2021 ◽  
Vol 305 ◽  
pp. 127093
Author(s):  
Yao Tao ◽  
Yunna Wu ◽  
Jianli Zhou ◽  
Man Wu ◽  
Shiman Wang ◽  
...  
Keyword(s):  
Air Pollution ◽  
Pollution Control ◽  
Air Pollution Control ◽  
Decision Framework ◽  
Fuzzy Environment

A two-sided matching decision-making approach based on regret theory under intuitionistic fuzzy environment

2021 ◽  
pp. 1-18
Author(s):  
Xiang Jia ◽  
Xinfan Wang ◽  
Yuanfang Zhu ◽  
Lang Zhou ◽  
Huan Zhou
Keyword(s):  
Decision Making ◽  
Hamming Distance ◽  
Optimal Solution ◽  
Intuitionistic Fuzzy Sets ◽  
Regret Theory ◽  
Multi Objective ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Objective Model ◽  
Single Objective

This study proposes a two-sided matching decision-making (TSMDM) approach by combining the regret theory under the intuitionistic fuzzy environment. At first, according to the Hamming distance of intuitionistic fuzzy sets and regret theory, superior and inferior flows are defined to describe the comparative preference of subjects. Hereafter, the satisfaction degrees are obtained by integrating the superior and inferior flows of the subjects. The comprehensive satisfaction degrees are calculated by aggregating the satisfaction degrees, based on which, a multi-objective TSMDM model is built. Furthermore, the multi-objective TSMDM model is converted to a single-objective model, the optimal solution of the latter is derived. Finally, an illustrative example and several analyses are provided to verify the feasibility and the effectiveness of the proposed approach.

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