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Optimizing bioremediation techniques for soil decontamination in a linguistic intuitionistic fuzzy framework. [PDF]

Sci Rep
Alolaiyan H, Hayat M, Shuaib U, Razaq A, Salman MA, Xin Q.   +5 more
europepmc   +1 more source

Editorials, elections and persuasion semantic representation in ideologically polarized discourse in The New York Post and The New York Times [PDF]

Lehtoaro, Laura Kristiina
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Web 2.0 technologies for learning: the current landscape : opportunities, challenges and tensions [PDF]

core  

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Incomplete hesitant fuzzy preference relation

Journal of Statistics and Management Systems, 2018
In the process of decision making, a decision maker may give her/his judgments using hesitant fuzzy preference relations for hesitancy and uncertainty. Limitations of the experts’ professional knowledge, experience, and lack of time may lead to preferences in hesitant fuzzy preference relation(HFPR) which are usually incomplete. Zhang et al.
Anjana Gupta
exaly   +2 more sources

The Multiplicative Consistency Index of Hesitant Fuzzy Preference Relation

IEEE Transactions on Fuzzy Systems, 2016
Hesitant fuzzy preference relation (HFPR) shows to be a unique and suitable technique to integrate all the values of decision makers when comparing pairwise alternatives (or criteria), while the consistency index of a HFPR determines the accuracy and reliability.
Zeshui Xu, Huchang Liao
exaly   +2 more sources

Additive consistency analysis and improvement for hesitant fuzzy preference relations

Expert Systems With Applications, 2018
Abstract Hesitant fuzzy preference relation (HFPR) is an effective tool to elicit decision makers’ hesitant preference information over alternatives, and consistency analysis is of great importance for an HFPR since inconsistent judgments may result in unreasonable results.
Zhen Zhang, Qingxing Dong
exaly   +2 more sources

Deriving a Ranking From Hesitant Fuzzy Preference Relations Under Group Decision Making

IEEE Transactions on Cybernetics, 2014
In this paper, we explore the ranking methods with hesitant fuzzy preference relations (HFPRs) in the group decision making environments. As basic elements of hesitant fuzzy sets, hesitant fuzzy elements (HFEs) usually have different numbers of possible values.
Bin Zhu, Zeshui Xu, Jiuping Xu
exaly   +3 more sources

Some consistency measures of extended hesitant fuzzy linguistic preference relations

Information Sciences, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hai Wang, Zeshui Xu
exaly   +2 more sources

Additive Consistency of Hesitant Fuzzy Linguistic Preference Relation With a New Expansion Principle for Hesitant Fuzzy Linguistic Term Sets

IEEE Transactions on Fuzzy Systems, 2019
Hesitant fuzzy linguistic preference relation (HFLPR) is a new preference structure that the decision makers (DMs) are hesitant about several possible linguistic terms of preference information for pairwise comparison between alternatives. This paper examines the additive consistency of HFLPR with a new expansion principle for hesitant fuzzy linguistic
Peng Wu, Ligang Zhou, Huayou Chen
exaly   +2 more sources

On priority weights and consistency for incomplete hesitant fuzzy preference relations

Knowledge-Based Systems, 2018
Abstract The hesitant fuzzy preference relation (HFPR) is a useful tool for decision makers to elicit their preference information over a set of alternatives. In this paper, it is first proposed an approach to deriving a priority weight vector from an incomplete HFPR using the logarithmic least squares method. Based on the priority weight vector, the
Zhen Zhang, Wenyu Yu, Chonghui Guo
exaly   +2 more sources