A New Multiple Attribute Group Decision-making Approach to the Selection of Hotels for a Travel Company
Authors: 
Qingzhao Li, Yuan Rong, Zheng PeiAuthors Info & Claims
Article No.: 153, Pages 1 - 5
Abstract
This paper proposes a new multi-attribute group decisionmaking (MAGDM) approach to conduct decision analysis with q-rung orthopair fuzzy (q-ROF) information, whose weights of attributes are completely unknown, based on Frank operations and improved Additive Ratio Assessment (ARAS). Firstly, we put forward the new operational laws of q-rung orthopair fuzzy number (q-ROFN) based on Frank operations. Then, we further give q-rung orthopair fuzzy Frank prioritized weighted (q-ROFFPWA) and q-rung orthopair fuzzy Frank prioritized weighted geometric (q-ROFFPWG) operator to aggregate fuzzy information effectively and study some properties of them. Furthermore, we propound an improved ARAS method to address MAGDM problem, where the weights of attributes determined through a newly defined generalized entropy. At last, we test the practicality of the proposed method by applying it to the selection of hotels for a travel company, and highlight the flexibility and superiority of this method by parameter analysis and comparative analysis.
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- A New Multiple Attribute Group Decision-making Approach to the Selection of Hotels for a Travel Company
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Published In
October 2020
1038 pages
ISBN:9781450377720
DOI:10.1145/3424978
- Conference Chair:
- Ali Emrouznejad,
- Program Chair:
- Jui-Sheng Rayson Chou
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Association for Computing Machinery
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Published: 20 October 2020
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CSAE 2020
CSAE 2020: The 4th International Conference on Computer Science and Application Engineering
October 20 - 22, 2020
Sanya, China
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CSAE '20 Paper Acceptance Rate 179 of 387 submissions, 46%;
Overall Acceptance Rate 368 of 770 submissions, 48%
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