Estimating Usable-Security Through Hesitant Fuzzy Linguistic Term Sets Based Technique

The fuzzy clustering algorithm has become a research hotspot in many fields because of its better clustering effect and data expression ability. However, little research focuses on the clustering of hesitant fuzzy linguistic term sets (HFLTSs). To fill in the research gaps, we extend the data type of clustering to hesitant fuzzy linguistic information. A kind of hesitant fuzzy linguistic agglomerative hierarchical clustering algorithm is proposed. Furthermore, we propose a hesitant fuzzy linguistic Boole matrix clustering algorithm and compare the two clustering algorithms. The proposed clustering algorithms are applied in the field of judicial execution, which provides decision support for the executive judge to determine the focus of the investigation and the control. A clustering example verifies the clustering algorithm’s effectiveness in the context of hesitant fuzzy linguistic decision information.

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Warhead power assessment based on double hierarchy hesitant fuzzy linguistic term sets theory and gained and lost dominance score method

Chinese Journal of Aeronautics ◽

10.1016/j.cja.2021.03.030 ◽

2021 ◽

Author(s):

Tianle Yao ◽

Weili Wang ◽

Run Miao ◽

Qiwei Hu ◽

Jun Dong ◽

...

Keyword(s):

Linguistic Term ◽

Dominance Score ◽

Score Method ◽

Sets Theory ◽

Fuzzy Linguistic

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Multi-criteria decision-making based on hesitant fuzzy linguistic term sets: An outranking approach

Knowledge-Based Systems ◽

10.1016/j.knosys.2015.06.007 ◽

2015 ◽

Vol 86 ◽

pp. 224-236 ◽

Cited By ~ 77

Author(s):

Jing Wang ◽

Jian-qiang Wang ◽

Hong-yu Zhang ◽

Xiao-hong Chen

Keyword(s):

Decision Making ◽

Multi Criteria Decision Making ◽

Linguistic Term ◽

Fuzzy Linguistic

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A new fuzzy multiple criteria decision making method based on likelihood-based comparison relations of hesitant fuzzy linguistic term sets and a-cuts of fuzzy sets

2014 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2014.7009137 ◽

2014 ◽

Cited By ~ 2

Author(s):

Li-Wei Lee ◽

Shyi-Ming Chen

Keyword(s):

Decision Making ◽

Fuzzy Sets ◽

Multiple Criteria Decision Making ◽

Multiple Criteria ◽

Linguistic Term ◽

Fuzzy Linguistic

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A BI-OBJECTIVE SCORE-VARIANCE BASED LINEAR ASSIGNMENT METHOD FOR GROUP DECISION MAKING WITH HESITANT FUZZY LINGUISTIC TERM SETS

Technological and Economic Development of Economy ◽

10.3846/20294913.2016.1275878 ◽

2018 ◽

Vol 24 (3) ◽

pp. 1125-1148 ◽

Cited By ~ 4

Author(s):

Seyed Hossein RAZAVI HAJIAGHA ◽

Meisam SHAHBAZI ◽

Hannan AMOOZAD MAHDIRAJI ◽

Hossein PANAHIAN

Keyword(s):

Decision Making ◽

Group Decision Making ◽

Group Decision ◽

Decision Makers ◽

Assignment Method ◽

Linguistic Term ◽

Criteria Weights ◽

Individual Evaluation ◽

Fuzzy Linguistic ◽

Linear Assignment

Decision makers usually prefer to express their preferences by linguistic variables. Classic fuzzy sets allowed expressing these preferences using a single linguistic value. Considering inevitable hesitancy of decision makers, hesitant fuzzy linguistic term sets allowed them to express individual evaluation using several linguistic values. Therefore, these sets improve the ability of humans to determine believes using their own language. Considering this feature, in this paper a method upon linear assignment method is proposed to solve group decision making problems using this kind of information, when criteria weights are known or unknown. The performance of the proposed method is illustrated in a numerical example and the results are compared with other methods to delineate the models efficiency. Following a logical and well-known mathematical logic along with simplicity of execution are the main advantages of the proposed method.

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A Framework for Multi-Attribute Group Decision-Making Using Double Hierarchy Hesitant Fuzzy Linguistic Term Set

International Journal of Fuzzy Systems ◽

10.1007/s40815-019-00618-w ◽

2019 ◽

Vol 21 (4) ◽

pp. 1130-1143 ◽

Cited By ~ 19

Author(s):

R. Krishankumar ◽

L. S. Subrajaa ◽

K. S. Ravichandran ◽

Samarjit Kar ◽

Arsham Borumand Saeid

Keyword(s):

Decision Making ◽

Group Decision Making ◽

Group Decision ◽

Linguistic Term ◽

Fuzzy Linguistic

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A Novel Linguistic Group Decision-Making Model Based on Extended Hesitant Fuzzy Linguistic Term Sets

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems ◽

10.1142/s0218488515500166 ◽

2015 ◽

Vol 23 (03) ◽

pp. 379-398 ◽

Cited By ~ 24

Author(s):

Cuiping Wei ◽

Na Zhao ◽

Xijin Tang

Keyword(s):

Decision Making ◽

Group Decision Making ◽

Group Decision ◽

Distance Measures ◽

Linguistic Terms ◽

Linguistic Information ◽

Linguistic Group ◽

Linguistic Term ◽

Decision Making Model ◽

Fuzzy Linguistic

Hesitant fuzzy linguistic term set (HFLTS) is a set with ordered consecutive linguistic terms, and is very useful in addressing the situations where people are hesitant in providing their linguistic assessments. Wang [H. Wang, Extended hesitant fuzzy linguistic term sets and their aggregation in group decision making, International Journal of Computational Intelligence Systems 8(1) (2015) 14–33.] removed the consecutive condition to introduce the notion of extended HFLTS (EHFLTS). The generalized form has wider applications in linguistic group decision-making. By introducing distance measures for EHFLTSs, in this paper we develop a novel multi-criteria group decision making model to deal with hesitant fuzzy linguistic information. The model collects group linguistic information by using EHFLTSs and avoids the possible loss of information. Moreover, it can assess the importance weights of criteria according to their subjective and objective information and rank alternatives based on the rationale of TOPSIS. In order to illustrate the applicability of the proposed algorithm, two examples are given and comparisons are made with the other existing methods.

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