Decision making with probabilistic hesitant fuzzy information based on multiplicative consistency

2020 ◽  
Vol 35 (8) ◽  
pp. 1233-1261 ◽  
Author(s):  
Mingwei Lin ◽  
Qianshan Zhan ◽  
Zeshui Xu
Keyword(s):  
Decision Making ◽  
Fuzzy Information ◽  
Multiplicative Consistency

On Laplacian energy of picture fuzzy graphs in site selection problem

2021 ◽  
pp. 1-18
Author(s):  
Mahima Poonia ◽  
Rakesh Kumar Bajaj
Keyword(s):  
Decision Making ◽  
Site Selection ◽  
Upper Bounds ◽  
Selection Problem ◽  
Hydropower Plant ◽  
Fuzzy Graph ◽  
Fuzzy Information ◽  
Fuzzy Graphs ◽  
Laplacian Energy ◽  
Selection For

In the present work, the adjacency matrix, the energy and the Laplacian energy for a picture fuzzy graph/directed graph have been introduced along with their lower and the upper bounds. Further, in the selection problem of decision making, a methodology for the ranking of the available alternatives has been presented by utilizing the picture fuzzy graph and its energy/Laplacian energy. For the shake of demonstrating the implementation of the introduced methodology, the task of site selection for the hydropower plant has been carried out as an application. The originality of the introduced approach, comparative remarks, advantageous features and limitations have also been studied in contrast with intuitionistic fuzzy and Pythagorean fuzzy information.

Extension of TOPSIS model to the decision-making under complex spherical fuzzy information

2021 ◽  
Author(s):  
Muhammad Akram ◽  
Cengiz Kahraman ◽  
Kiran Zahid
Keyword(s):  
Decision Making ◽  
Fuzzy Information ◽  
Topsis Model

Extended TOPSIS method based on the entropy measure and probabilistic hesitant fuzzy information and their application in decision support system

2021 ◽  
pp. 1-12
Author(s):  
Muhammad Naeem ◽  
Muhammad Ali Khan ◽  
Saleem Abdullah ◽  
Muhammad Qiyas ◽  
Saifullah Khan
Keyword(s):  
Decision Making ◽  
Fuzzy Set ◽  
Distance Measure ◽  
Group Decision ◽  
Hesitant Fuzzy Set ◽  
Entropy Measure ◽  
Fuzzy Information ◽  
Score Functions ◽  
Fuzzy Environment ◽  
Basic Operating

Probabilistic hesitant fuzzy Set (PHFs) is the most powerful and comprehensive idea to support more complexity than developed fuzzy set (FS) frameworks. In this paper, it can explain a novel, improved TOPSIS-based method for multi-criteria group decision-making (MCGDM) problem through the Probabilistic hesitant fuzzy environment, in which the weights of both experts and criteria are completely unknown. Firstly, we discuss the concept of PHFs, score functions and the basic operating laws of PHFs. In fact, to compute the unknown weight information, the generalized distance measure for PHFs was defined based on the Probabilistic hesitant fuzzy entropy measure. Second, MCGDM will be presented with the PHF information-based decision-making process.

scholarly journals Hesitant fuzzy information aggregation in decision making

2011 ◽  
Vol 52 (3) ◽  
pp. 395-407 ◽  
Author(s):  
Meimei Xia ◽  
Zeshui Xu
Keyword(s):  
Decision Making ◽  
Information Aggregation ◽  
Fuzzy Information

Multi-criteria Group Decision-Making Method Based on Intuitionistic Interval Fuzzy Information

2012 ◽  
Vol 23 (4) ◽  
pp. 715-733 ◽  
Author(s):  
Jian-qiang Wang ◽  
Zhi-qiu Han ◽  
Hong-yu Zhang
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Fuzzy Information
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