Results 161 to 170 of about 13,334 (204)
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The optimal group consensus models for 2-tuple linguistic preference relations
Knowledge-Based Systems, 2013We establish in this paper the optimization model of group consensus of 2-tuple linguistic preferential relations (LPRGCO Model), put forward three kinds of solutions to this model, and discover in it the convergence of group consensus. To detect the LPRGCO Model, we first build two kinds of optimal matrices as standards to measure the group consensus ...
Zai-Wu Gong +2 more
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2005 IEEE International Conference on Granular Computing, 2005
Recently, the authors in [Huynh, V. N., Y. Namkamori (2005)] have introduced a formal notion of linguistic hierarchies in terms of ordered structure based semantics of the linguistic term sets for managing any hierarchical kind of multigranular sets of linguistic labels.
V.N. Huynh +2 more
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Recently, the authors in [Huynh, V. N., Y. Namkamori (2005)] have introduced a formal notion of linguistic hierarchies in terms of ordered structure based semantics of the linguistic term sets for managing any hierarchical kind of multigranular sets of linguistic labels.
V.N. Huynh +2 more
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2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017
Multi objective linguistic optimization is a useful mathematical technique to solve problems that interdependent criteria. In such problems, values of the objective functions may be unknown at some points, when the link between the variables and the objective functions are defined linguistically through if-then rules.
Prashant K Gupta, Pranab K. Muhuri
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Multi objective linguistic optimization is a useful mathematical technique to solve problems that interdependent criteria. In such problems, values of the objective functions may be unknown at some points, when the link between the variables and the objective functions are defined linguistically through if-then rules.
Prashant K Gupta, Pranab K. Muhuri
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A 2-Tuple Fuzzy Linguistic Model for Sensory Fabric Hand Evaluation
2004This chapter presents two fuzzy logic based procedures for formalizing and analyzing sensory data provided by different panels on fabric hand evaluation. In the first procedure, the sensory data are transformed into fuzzy sets e ach representing the evaluation result of one individual. A 2-tuple linguistic model is used to aggregate multi-granular data
Xianyi Zeng +2 more
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A Consensus Based VIKOR Method Using the 2-Tuple Linguistic Model
2015Consensus plays a key role in group decision making where the participants in a group want to achieve some predefined degree of accordance. In this paper, based on the 2-tuple linguistic model, a consensus reaching process for multiple attribute group decision making (MAGDM) problem is introduced.
Zhibin Wu, Kang Xu, Lin Zhong
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Applied Soft Computing, 2020
Abstract This paper proposes a novel solution technique for the multi-objective linguistic optimization problems (MOLOPs) based on the 2-tuple fuzzy linguistic approach. The proposed approach has two main advantages. First, it can handle the MOLOPs in which the linguistic information are represented through either monotonic or non-monotonic functions.
Pranab K. Muhuri, Prashant K. Gupta
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Abstract This paper proposes a novel solution technique for the multi-objective linguistic optimization problems (MOLOPs) based on the 2-tuple fuzzy linguistic approach. The proposed approach has two main advantages. First, it can handle the MOLOPs in which the linguistic information are represented through either monotonic or non-monotonic functions.
Pranab K. Muhuri, Prashant K. Gupta
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IEEE Transactions on Fuzzy Systems, 2009
When using linguistic approaches to solve decision problems, we need the techniques for computing with words (CW). Together with the 2-tuple fuzzy linguistic representation models (i.e., the Herrera and Martinez model and the Wang and Hao model), some computational techniques for CW are also developed.
null Yucheng Dong +2 more
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When using linguistic approaches to solve decision problems, we need the techniques for computing with words (CW). Together with the 2-tuple fuzzy linguistic representation models (i.e., the Herrera and Martinez model and the Wang and Hao model), some computational techniques for CW are also developed.
null Yucheng Dong +2 more
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Information Sciences, 2014
Uncertainty in real world decision making problems not always has probabilistic nature, in such cases the use of linguistic information to model and manage such an uncertainty has given good results. The adoption of linguistic information implies the accomplishment of processes of computing with words to solve linguistic decision making problems.
F.J. Estrella +3 more
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Uncertainty in real world decision making problems not always has probabilistic nature, in such cases the use of linguistic information to model and manage such an uncertainty has given good results. The adoption of linguistic information implies the accomplishment of processes of computing with words to solve linguistic decision making problems.
F.J. Estrella +3 more
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Model for evaluating the visual design quality with 2-tuple linguistic information
Journal of Intelligent & Fuzzy Systems, 2017In this paper, we investigate the multiple attribute decision making problems for evaluating the visual design quality with 2-tuple linguistic information. Motivated by the ideal of generalized weighted Bonferroni mean and generalized weighted geometric Bonferroni mean, we develop the 2-tuple linguistic generalized Bonferroni mean (2TLGBM) operator for
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IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2001
In those problems that deal with multiple sources of linguistic information we can find problems defined in contexts where the linguistic assessments are assessed in linguistic term sets with different granularity of uncertainty and/or semantics (multigranular linguistic contexts).
F, Herrera, L, Martinez
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In those problems that deal with multiple sources of linguistic information we can find problems defined in contexts where the linguistic assessments are assessed in linguistic term sets with different granularity of uncertainty and/or semantics (multigranular linguistic contexts).
F, Herrera, L, Martinez
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