A Decision Framework under a Linguistic Hesitant Fuzzy Set for Solving Multi-Criteria Group Decision Making Problems

R. Krishankumar, K. S. Ravichandran, J. Premaladha, Samarjit Kar, Edmundas Kazimieras Zavadskas and Jurgita Antucheviciene
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R. Krishankumar: School of computing, SASTRA University, Thanjavur 613401, India
K. S. Ravichandran: School of computing, SASTRA University, Thanjavur 613401, India
J. Premaladha: School of computing, SASTRA University, Thanjavur 613401, India
Samarjit Kar: Department of Mathematics, National Institute of Technology Durgapur, West Bengal 713209, India
Edmundas Kazimieras Zavadskas: Department of Construction Technology and Management, Vilnius Gediminas Technical University, Sauletekio al. 11, Vilnius LT-10223, Lithuania
Jurgita Antucheviciene: Laboratory of Operational Research, Research Institute of Sustainable Construction, Vilnius Gediminas Technical University, Sauletekio al. 11, Vilnius LT-10223, Lithuania

Sustainability, 2018, vol. 10, issue 8, 1-21

Abstract: With fast-growing interest in sustainable healthcare management, proper selection and evaluation of hospitals become highly essential. Generally, experts/decision-makers (DMs) prefer qualitative information for rating objects. Motivated by this idea, in this paper, a linguistic hesitant fuzzy set (LHFS) is adopted for elicitation of preference information. The LHFS provides qualitative preferences of DMs as well as reflects their hesitancy, inconsistency, and vagueness. Motivated by the power of LHFS, in this paper we present a new decision framework that initially presents some operational laws and properties. Further, a new aggregation operator called simple linguistic hesitant fuzzy weighted geometry (SLHFWG) is proposed under the LHFS context that uses the strength of power operators. Some properties of SLHFWG are also investigated. Criteria weights are estimated using a newly proposed linguistic hesitant fuzzy statistical variance (LHFSV) method, and objects are ranked using the newly proposed linguistic hesitant fuzzy VIKOR (visekriterijumska optimizacijai kompromisno resenje) (LHFVIKOR) method, which is an extension of VIKOR under the LHFS context. The practicality and usefulness of the proposal are demonstrated by using a hospital evaluation example for sustainable healthcare management. Finally, the strengths and weaknesses of the proposal are realized by comparison with other methods.

Keywords: group decision making; hesitant fuzzy set; hospital evaluation; linguistic hesitant fuzzy set and Standard variance (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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