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An Approach to Linguistic Multiple Attribute Decision-Making Based on Unbalanced Linguistic Generalized Heronian Mean Aggregation Operator
Joint Authors
Han, Bing
Chen, Huayou
Zhu, Jiaming
Liu, Jinpei
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-25, 25 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-12
Country of Publication
Egypt
No. of Pages
25
Main Subjects
Abstract EN
This paper proposes an approach to linguistic multiple attribute decision-making problems with interactive unbalanced linguistic assessment information by unbalanced linguistic generalized Heronian mean aggregation operators.
First, some generalized Heronian mean aggregation operators with unbalanced linguistic information are proposed, involving the unbalanced linguistic generalized arithmetic Heronian mean operator and the unbalanced linguistic generalized geometric Heronian mean operator.
For the situation that the input arguments have different degrees of importance, the unbalanced linguistic generalized weighted arithmetic Heronian mean operator and the unbalanced linguistic generalized weighted geometric Heronian mean operator are developed.
Then we investigate their properties and some particular cases.
Finally, the effectiveness and universality of the developed approach are illustrated by a low-carbon tourist instance and comparison analysis.
A sensitivity analysis is performed as well to test the robustness of proposed methods.
American Psychological Association (APA)
Han, Bing& Chen, Huayou& Zhu, Jiaming& Liu, Jinpei. 2018. An Approach to Linguistic Multiple Attribute Decision-Making Based on Unbalanced Linguistic Generalized Heronian Mean Aggregation Operator. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-25.
https://search.emarefa.net/detail/BIM-1130588
Modern Language Association (MLA)
Han, Bing…[et al.]. An Approach to Linguistic Multiple Attribute Decision-Making Based on Unbalanced Linguistic Generalized Heronian Mean Aggregation Operator. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-25.
https://search.emarefa.net/detail/BIM-1130588
American Medical Association (AMA)
Han, Bing& Chen, Huayou& Zhu, Jiaming& Liu, Jinpei. An Approach to Linguistic Multiple Attribute Decision-Making Based on Unbalanced Linguistic Generalized Heronian Mean Aggregation Operator. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-25.
https://search.emarefa.net/detail/BIM-1130588
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130588