Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/334052 
Year of Publication: 
2021
Citation: 
[Journal:] Asian Journal of Economics and Banking (AJEB) [ISSN:] 2633-7991 [Volume:] 5 [Issue:] 2 [Year:] 2021 [Pages:] 194-203
Publisher: 
Emerald, Leeds
Abstract: 
Purpose - The paper aims to propose a practical model for market segment selection and evaluation. The paper carries out a technique of order preference similarity to the ideal solution (TOPSIS) approach to make an operation systematic dealing with multi-criteria decision- making problem. Design/methodology/approach - Introducing a multi-criteria decision-making problem based on TOPSIS approach. A new entropy and new similarity measure under neutrosopic environment are proposed to evaluate the weights of criteria and the relative closeness coefficient in TOPSIS model. Findings - The outcomes show that the TOPSIS model based on new entropy and similarity measure is effective for evaluation and selection market segment. Profitability, growth of the market, the likelihood of sustainable differential advantages are the most important insights of criteria. Originality/value - This paper put forward an effective multi-criteria decision-making dealing with uncertain information.
Subjects: 
Multi-criteria decision-making
Market segment selection
Neutrosophic set
Entropy
Similarity measure
JEL: 
C02
C44
D40
D81
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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