Title:Similarity Measures and Their Applications in Multiple Attribute Decision-
Making Under Cubic Hesitant Environment
Volume: 2
Author(s): Yohannes Belayneh, Rui Yong*Yingying Zhang
Affiliation:
- School of
Civil and Environmental Engineering, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
Keywords:
Cubic Hesitant Fuzzy Set (CHFS), trigonometric similarity measure, Multiple-Attribute Decision Making (MADM), hesitancy fuzzy information, construction management, environment.
Abstract:
Background: Cubic Hesitant Fuzzy Set (CHFS) is a hybrid set that can express uncertain
and hesitancy fuzzy information simultaneously.
Objective: In this paper, we introduced three trigonometric similarity measures (e.g., cosine, tangent,
and cotangent similarity measures) to measure the degree of similarity between the alternative
and the ideal set under the CHFS environment. Various desirable characteristics of the cubic
hesitant fuzzy set are studied. Then, we developed multiple attribute decision-making methods
based on the weighted cosine, tangent, and cotangent similarity measures of CHFSs.
Methods: In this research, we presented the similarity measures of CHFSs based on the cosine,
tangent, and cotangent functions. Then, illustrative examples of construction project management
with CHFS information are presented to show the effectiveness and feasibility of the proposed
Multiattribute Decision-making (MADM) method under CHFS environments.
Results: Based on the weighted similarity measures between each alternative and the ideal set,
this method provides the ranking order according to the values of their similarity measure. The
best alternatives can be easily identified from the ranking order obtained.
Conclusion: Based on the comparison of the decision results obtained, the tangent and cotangent
similarity measures are better in similarity identification than the cosine similarity measure for
solving MADM problems under a cubic hesitant environment.
