The Weak Consistency of an Interval-valued Intuitionistic Fuzzy Matrix
Glorious Sun Sch. of Bus. & Manage., Donghua Univ., DonghuaDOI: 10.1109/FUZZY.2008.4630511 Conference: Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
Source: IEEE Xplore
During the process of decision making, due to time limitation, knowledge structure and environmental factors, decision makers can not provide accurate numbers to express their preferences and have some hesitation to make decisions. In this condition, it will be better to use interval-valued intuitionistic fuzzy numbers to express decision makerspsila preferences. Therefore, the weak consistency of an interval-valued intuitionistic fuzzy matrix was defined, and some properties were proposed to judge the weak consistency of an interval-valued intuitionistic fuzzy matrix. Then the acceptability of a given interval-valued intuitionisitic fuzzy matrix can be measured and advice can be given to a decision maker to adapt his/her preference if the given matrix is not weakly consistent. Meanwhile, illustrated examples were given.
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ABSTRACT: Respective advantages of the fuzzy analysis and lobe component analysis with respect to evaluation are adopted to establish the fuzzy lobe component analysis model for comprehensive quality evaluation on undergraduate students. In order to speed up convergence of the network, the clustering analysis method was adopted in the process of training to cluster values of all indexes input. These measures have speeded up convergence of the network and optimized structure of the network. Especially, the method performs unsupervised learning while the input samples are being classified. Examples have proved that this evaluation model can finish the evaluation work well.
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