Multi-attribute Group Decision-making Based on Hesitant Bipolar-valued Fuzzy Information and Social Network Article Swipe
R. Dhanalakshmi
,
Sovan Samanta
,
Arun Kumar Sivaraman
,
Jeong-Gon Lee
,
A. Balasundaram
,
S. T. Sanamdikar
,
Priya D. Ravindran
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.32604/csse.2023.026254
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.32604/csse.2023.026254
Fuzzy sets have undergone several expansions and generalisations in the literature, including Atanasov's intuitionistic fuzzy sets, type 2 fuzzy sets, and fuzzy multisets, to name a few. They can be regarded as fuzzy multisets from a formal standpoint; nevertheless, their interpretation differs from the two other approaches to fuzzy multisets that are currently available. Hesitating fuzzy sets (HFS) are very useful if consultants have hesitation in dealing with group decision-making problems between several possible memberships. However, these possible memberships can be not only crisp values in [0,1], but also interval values during a practical evaluation process. Hesitant bipolar valued fuzzy set (HBVFS) is a generalization of HFS. This paper aims to introduce a general framework of multi-attribute group decision-making using social network. We propose two types of decision-making processes: Type-1 decision-making process and Type-2 decision-making process. In the Type-1 decision-making process, the experts' original opinion is proces for the final ranking of alternatives. In Type-2 decision making processs, there are two major aspects we consider. First, consistency tests and checking of consensus models are given for detecting that the judgments are logically rational. Otherwise, the framework demands (partial) decision-makers to review their assessments. Second, the coherence and consensus of several HBVFSs are established for final ranking of alternatives. The proposed framework is clarified by an example of software packages selection of a university.
Related Topics
Concepts
Consistency (knowledge bases)
Group decision-making
Computer science
Fuzzy set
Ranking (information retrieval)
Generalization
Fuzzy logic
Type-2 fuzzy sets and systems
Artificial intelligence
Data mining
Set (abstract data type)
Fuzzy number
Machine learning
Mathematics
Political science
Programming language
Mathematical analysis
Law
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.32604/csse.2023.026254
- https://file.techscience.com/ueditor/files/csse/TSP_CSSE-44-3/TSP_CSSE_26254/TSP_CSSE_26254.pdf
- OA Status
- diamond
- Cited By
- 10
- References
- 40
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4289130130
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4289130130Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.32604/csse.2023.026254Digital Object Identifier
- Title
-
Multi-attribute Group Decision-making Based on Hesitant Bipolar-valued Fuzzy Information and Social NetworkWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-08-01Full publication date if available
- Authors
-
R. Dhanalakshmi, Sovan Samanta, Arun Kumar Sivaraman, Jeong-Gon Lee, A. Balasundaram, S. T. Sanamdikar, Priya D. RavindranList of authors in order
- Landing page
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https://doi.org/10.32604/csse.2023.026254Publisher landing page
- PDF URL
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https://file.techscience.com/ueditor/files/csse/TSP_CSSE-44-3/TSP_CSSE_26254/TSP_CSSE_26254.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://file.techscience.com/ueditor/files/csse/TSP_CSSE-44-3/TSP_CSSE_26254/TSP_CSSE_26254.pdfDirect OA link when available
- Concepts
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Consistency (knowledge bases), Group decision-making, Computer science, Fuzzy set, Ranking (information retrieval), Generalization, Fuzzy logic, Type-2 fuzzy sets and systems, Artificial intelligence, Data mining, Set (abstract data type), Fuzzy number, Machine learning, Mathematics, Political science, Programming language, Mathematical analysis, LawTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
10Total citation count in OpenAlex
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2024: 8, 2023: 1, 2022: 1Per-year citation counts (last 5 years)
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40Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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