A Multi-criteria Group Decision Making Procedure Based on a Multi-granular Linguistic Approach for Changeable Scenarios

Author(s):  
José Ramón Trillo ◽  
Enrique Herrera-Viedma ◽  
Francisco Javier Cabrerizo ◽  
Juan Antonio Morente-Molinera
2021 ◽  
Vol 2 (1) ◽  
pp. 1-6
Author(s):  
Panjkaj Srivastava ◽  
Rajkrishna Mondal

Naturally, individual decision style is qualitative rather than quantitative settings. In nature, the human way of thinking is uncertain and fuzziness that demands the use of the linguistic approach of problems related to the decision. The group decision making process is highly affected by hesitant situations among the members for clarity-based decisions. In order to remove the hesitant situations, the proposed Hesitant Fuzzy Envelope expert system provides the group decision making processes with more realistic output in envelope form rather than CRISP one. In this study, we shall discuss a linguistic based expert system that will help to make more realistic decisions in a hesitant situation by using Hesitant Fuzzy Envelope technique.


Symmetry ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 735 ◽  
Author(s):  
Arooj Adeel ◽  
Muhammad Akram ◽  
Ali N. A. Koam

The fuzzy linguistic approach provides favorable outputs in several areas, whose description is relatively qualitative. The encouragement for the utilization of sentences or words instead of numbers is that linguistic characterizations or classifications are usually less absolute than algebraic or arithmetical ones. In this research article, we animate the m-polar fuzzy (mF) linguistic approach and elaborate it with real life examples and tabular representation to develop the affluence of linguistic variables based on mF approach. As an extension of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method, we develop an m-polar fuzzy linguistic TOPSIS approach for multi-criteria group decision-making (MCGDM). It is used to evaluate the best alternative, to get more authentic and comparable results and to handle the real life problems of having multi-polar information in terms of linguistic variables and values. In this approach decision-makers contribute their estimations in the form of linguistic term sets. To show the efficiency and compatibility of the proposed approach, we compare it with the m-polar fuzzy linguistic ELECTRE-I (Elimination and Choice Translating Reality) approach. Finally, we draw a flow chart of our proposed approach as an algorithm and generate a computer programming code.


1999 ◽  
Author(s):  
Mark F. Stasson ◽  
Jason W. Hart

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