Modelling Uncertainties in Multi-Criteria Decision Making using Distance Measure and TOPSIS for Hesitant Fuzzy Sets-Reference-Cited by-同舟云学术

Modelling Uncertainties in Multi-Criteria Decision Making using Distance Measure and TOPSIS for Hesitant Fuzzy Sets

Published:2017-02-23 Issue:2 Volume:7 Page:103-109
ISSN:2083-2567
Container-title:Journal of Artificial Intelligence and Soft Computing Research
language:en
Short-container-title:

Author:

Beg Ismat¹,Rashid Tabasam²

Affiliation:

1. Lahore School of Economics, Lahore, Pakistan

2. University of Management and Technology, Lahore-54770, Pakistan

Abstract

Abstract A notion for distance between hesitant fuzzy data is given. Using this new distance notion, we propose the technique for order preference by similarity to ideal solution for hesitant fuzzy sets and a new approach in modelling uncertainties. An illustrative example is constructed to show the feasibility and practicality of the new method.

Publisher

Walter de Gruyter GmbH

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Hardware and Architecture,Modelling and Simulation,Information Systems

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