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Open AccessArticle

An Extended TOPSIS Method with Unknown Weight Information in Dynamic Neutrosophic Environment

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VNU Information Technology Institute, Vietnam National University, Hanoi 010000, Vietnam
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VNU University of Engineering and Technology, Vietnam National University, Hanoi 010000, Vietnam
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Faculty of Computer Science and Engineering, Thuyloi University, 175 Tay Son, Dong Da, Hanoi 010000, Vietnam
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Institute of Information Technology, Vietnam Academy of Science and Technology, Hanoi 010000, Vietnam
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Department of Industrial Management, National Taiwan University of Science and Technology, No 43 Section 4; Keelung Rd., Taipei 10607, Taiwan
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Center for Cyber-Physical System Innovation, National Taiwan University of Science and Technology, Taipei 10607, Taiwan
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Author to whom correspondence should be addressed.
Mathematics 2020, 8(3), 401; https://doi.org/10.3390/math8030401
Received: 9 February 2020 / Revised: 7 March 2020 / Accepted: 9 March 2020 / Published: 11 March 2020
(This article belongs to the Special Issue New Challenges in Neutrosophic Theory and Applications)
Decision-making activities are prevalent in human life. Many methods have been developed to address real-world decision problems. In some practical situations, decision-makers prefer to provide their evaluations over a set of criteria and weights. However, in many real-world situations, problems include a lack of weight information for the times, criteria, and decision-makers (DMs). To remedy such discrepancies, an optimization model has been proposed to determine the weights of attributes, times, and DMs. A new concept related to the correlation measure and some distance measures for the dynamic interval-valued neutrosophic set (DIVNS) are defined in this paper. An extend Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method in the interval-valued neutrosophic set with unknown weight information in dynamic neutrosophic environments is developed. Finally, a practical example is discussed to illustrate the feasibility and effectiveness of the proposed method. View Full-Text
Keywords: dynamic neutrosophic environment; dynamic interval-valued neutrosophic set; unknown weight information dynamic neutrosophic environment; dynamic interval-valued neutrosophic set; unknown weight information
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Tho Thong, N.; Lan, L.T.H.; Chou, S.-Y.; Son, L.H.; Dong, D.D.; Ngan, T.T. An Extended TOPSIS Method with Unknown Weight Information in Dynamic Neutrosophic Environment. Mathematics 2020, 8, 401.

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