Paper Info
Title
A priority-based intuitionistic multiplicative UTASTAR method and its application in low-carbon tourism destination selection
Abstract
The intuitionistic multiplicative preference relation extends Saaty’s multiplicative preference relation by membership and non-membership functions to describe decision-makers’ preferences on objects (alternatives or criteria), and the product of pairwise membership and non-membership degrees is less than or equal to one. In recent years, the intuitionistic multiplicative preference relation has attracted increasing attention and many methods have been proposed to handle multiple criteria decision making (MCDM) problems. However, few of the existing methods can be used to tackle the MCDM problems with both quantitative and qualitative criteria. To overcome this challenge, in this paper, a novel MCDM method called the priority-based intuitionistic multiplicative UTASTAR method is proposed, which combines a new intuitionistic multiplicative prioritization method and the UTASTAR method within the context of intuitionistic multiplicative sets. The consistency checking and improving processes are considered in the weight-determining method. A case study regarding the low-carbon tourism destination selection is adopted to illustrate the applicability of the proposed method. The effectiveness and superiority of the proposed method are further verified by comparative analyses and discussions.
Year
DOI
Venue
2020
10.1016/j.asoc.2019.106026
Applied Soft Computing
Keywords
DocType
Volume
Multiple criteria decision making,Intuitionistic multiplicative preference relation,Intuitionistic multiplicative priority weight,UTASTAR method,Low-carbon tourism destination selection
Journal
88
ISSN
Citations 
PageRank 
1568-4946
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Cheng Zhang121140.76
Li Luo210.68
Huchang Liao3160967.71
Abbas Mardani419313.36
Dalia Streimikiene5124.92
Abdullah Al-Barakati610.69