Intuitionistic linguistic multi-attribute decision making algorithm based on integrated distance measure

Bibliographic Data

ID15067368
AuthorsJun Liu (0000-0001-5393-3187, Nanjing University of Finance and Economics), Mengtian Wang (0000-0003-1972-6883, Nanjing University of Finance and Economics), Pan Xu (0000-0002-1931-0581, Nanjing University of Finance and Economics), Shouzhen Zeng (0000-0002-3604-0843, Ningbo University), Meiling Liu (0009-0009-4384-8101, Zhejiang Wanli University, corresponding author)
Year2019
Volume32
Issue1
Pages3667-3683
Publication date2019-01-01
Open AccessYes
TypeARTICLE
VenueEconomic Research-Ekonomska Istraživanja (JOURNAL)
Journal identifiersISSN: 1331-677X • E-ISSN: 1848-9664
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/1331677x.2019.1646146
OpenAlexW2980472231
LanguageEN
Citations received1
References cited45

This study aims to integrate the intuitionistic linguistic multi-attribute decision making (MADM) method which builds upon an integrated distance measure into supplier evaluation and selection problems. More specifically, an intuitionistic linguistic integrated distance measure based on ordered weighted averaging operator (OWA) and weighted average approach is presented and applied. The desirable characteristics and families of the developed distance operator are further explored. In addition, based on the proposed distance measure, a supplier selection problem for an automobile factory is used to test the practicality of its framework. The effectiveness and applicability of the presented framework for supplier selection are examined by carrying comparative analysis against the existing techniques of aggregation

Algorithm · Data mining · Distance measures · Computer Science · Fuzzy Systems and Optimization · Multi-Criteria Decision Making · Rough Sets and Fuzzy Logic · Artificial Intelligence

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Open DOISci-HubOpen Access