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author:

He, Shi-Fan (He, Shi-Fan.) [1] | Pan, Xiao-Hong (Pan, Xiao-Hong.) [2] | Wang, Ying-Ming (Wang, Ying-Ming.) [3] | Zamora, Diego García (Zamora, Diego García.) [4] | Martínez, Luis (Martínez, Luis.) [5]

Indexed by:

EI

Abstract:

Online reviews are a valuable tool for Multi-Criteria Decision Making (MCDM) because they provide insightful information on several aspects. However, not all reviews yield complete information on all the necessary criteria for the MCDM problem. In practice, users might not effectively analyze all of them due to a lack of knowledge or time constraints. Despite this shortcoming, these online reviews still offer useful information that would be lost if neglected. Therefore, this paper proposes a framework that offers a new approach to using online reviews in MCDM and effectively addresses missing information on a given criterion or criteria. This new approach first establishes an information processing mechanism to transform online reviews into Probabilistic Linguistic Term Sets (PLTSs) with interval uncertainty. Afterward, a weight determination model is defined to calculate the criteria weights, which are given as interval values to reflect the uncertainty of the criteria and consider information from online reviews to better capture the opinions of reviewers. Next, the Evidential Reasoning (ER) algorithm is extended to the PLTSs with interval uncertainty environment to fuse the evaluation information and generate the interval-valued expected utilities of the alternatives by considering the uncertainty related to the missing information. Finally, a case study is conducted to illustrate the implementation process of the proposed framework, and a comparative analysis is carried out to evaluate its performance. © 2024 Elsevier B.V.

Keyword:

Decision making Linguistics

Community:

  • [ 1 ] [He, Shi-Fan]School of Business, Qingdao University, Shandong; 266071, China
  • [ 2 ] [He, Shi-Fan]Decision Sciences Institute, Fuzhou University, Fujian; 350108, China
  • [ 3 ] [He, Shi-Fan]Department of Computer Science, University of Jaén, Jaén; 23071, Spain
  • [ 4 ] [Pan, Xiao-Hong]School of Business, Qingdao University, Shandong; 266071, China
  • [ 5 ] [Pan, Xiao-Hong]Department of Computer Science, University of Jaén, Jaén; 23071, Spain
  • [ 6 ] [Wang, Ying-Ming]Decision Sciences Institute, Fuzhou University, Fujian; 350108, China
  • [ 7 ] [Zamora, Diego García]Department of Computer Science, University of Jaén, Jaén; 23071, Spain
  • [ 8 ] [Martínez, Luis]Department of Computer Science, University of Jaén, Jaén; 23071, Spain

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Source :

Information Fusion

ISSN: 1566-2535

Year: 2024

Volume: 106

1 4 . 8 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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