Results 151 to 160 of about 104,152,810 (171)
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Decision making with multiplicative hesitant fuzzy linguistic preference relations
Neural Computing and Applications, 2017This study introduces a new type of preference relations called multiplicative hesitant fuzzy linguistic preference relations (MHFLPRs) to denote the asymmetrically qualitative hesitancy information of decision makers. Unlike hesitant fuzzy linguistic preference relations, MHFLPRs are defined on unbalanced scaled linguistic sets.
Jie Tang 0007, Fanyong Meng 0001
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Multistage decision making based on prioritization of hesitant multiplicative preference relations
Journal of Intelligent & Fuzzy Systems, 2017Hesitant multiplicative preference relation (HMPR) is a straightforward and efficient tool for representing hesitant fuzzy information in decision making. The aim of this paper is to develop a method to obtain priority vectors from HMPRs in the context of multistage decision-making (MSDM).
Yang Lin +2 more
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Journal of Intelligent & Fuzzy Systems, 2017
The hesitant fuzzy linguistic preference relations (HFLPRs) facilitate decision makers to express hesitant assessments in fuzzy decision making problems. It is important for the use of consistent HFLPRs since inconsistency leads to unreliable decision making results.
Liu, Hongbin, Jiang, Le, Xu, Zeshui
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The hesitant fuzzy linguistic preference relations (HFLPRs) facilitate decision makers to express hesitant assessments in fuzzy decision making problems. It is important for the use of consistent HFLPRs since inconsistency leads to unreliable decision making results.
Liu, Hongbin, Jiang, Le, Xu, Zeshui
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MANAGING HESITANT INFORMATION IN GDM PROBLEMS UNDER FUZZY AND MULTIPLICATIVE PREFERENCE RELATIONS
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2013In the process of group decision making (GDM), preference relations (e.g. fuzzy preference relation and multiplicative preference relation) are very popular tools to express decision makers' preferences, especially when a set of alternatives (or criteria) are compared.
Meimei Xia, Zeshui Xu
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Group decision making with multiplicative interval linguistic hesitant fuzzy preference relations
Information Sciences, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tang, J., Chen, S.-M., Meng, F.
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IEEE Transactions on Fuzzy Systems, 2020
In this article, we study how to manage the consistency and consensus in group decision-making (GDM) with hesitant multiplicative preference relations (HMPRs). First, an approach to develop the priority weight vector of an HMPR is presented. Then, the consistency index of an HMPR is defined for its consistency checking.
Zhiming Zhang 0002, Witold Pedrycz
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In this article, we study how to manage the consistency and consensus in group decision-making (GDM) with hesitant multiplicative preference relations (HMPRs). First, an approach to develop the priority weight vector of an HMPR is presented. Then, the consistency index of an HMPR is defined for its consistency checking.
Zhiming Zhang 0002, Witold Pedrycz
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International Journal of Information Technology & Decision Making, 2014
As we may have a set of possible values when comparing alternatives (or criteria), the hesitant fuzzy preference relation becomes a suitable and powerful technique to deal with this case. This paper mainly focuses on the multiplicative consistency of the hesitant fuzzy preference relation. First of all, we explore some properties of the hesitant fuzzy
Huchang Liao, Zeshui Xu, Meimei Xia
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As we may have a set of possible values when comparing alternatives (or criteria), the hesitant fuzzy preference relation becomes a suitable and powerful technique to deal with this case. This paper mainly focuses on the multiplicative consistency of the hesitant fuzzy preference relation. First of all, we explore some properties of the hesitant fuzzy
Huchang Liao, Zeshui Xu, Meimei Xia
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Calculating priority weights from interval-valued multiplicative hesitant fuzzy preference relations
Soft Computing, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jie Tang 0007, Fanyong Meng 0001
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Information Sciences, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang, Zhang Z., Chen, S.-M.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang, Zhang Z., Chen, S.-M.
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