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Fuzzy Multiple Attribute Decision Making Methods
1992A MADM problem is given as: $$\text{D=}\begin{matrix} {{\text{A}}_{1}}\\ {{\text{A}}_{2}}\\ \vdots\\ {{\text{A}}_{\text{m}}}\\ \end{matrix}\text{ }\left[\begin{matrix} {{\text{X}}_{1}}\text{ }{{\text{X}}_{2}}\text{ }\cdots \text{ }{{\text{X}}_{\text{n}}}\\ {{\text{X}}_{11}}\text{ }{{\text{X}}_{12}}\text{ }\cdots \text{ }{{\text{X}}_{1\text{n}}}\\ {{
Shu-Jen Chen, Ching-Lai Hwang
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Models for multiple attribute decision making with picture fuzzy information
Journal of Intelligent & Fuzzy Systems, 2019In this paper, we investigate the picture fuzzy multiple attribute decision making problems where the information about attribute weights is partly known or completely unknown. We introduce some notions, such as picture fuzzy ideal point, the normalized Hamming distance of picture fuzzy numbers. We also introduce the grey relational coefficient between
Hui Liu 0016 +3 more
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IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2007
Interval utility values, interval fuzzy preference relations, and interval multiplicative preference relations are three common uncertain-preference formats used by decision-makers to provide their preference information in the process of decision making under fuzziness.
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Interval utility values, interval fuzzy preference relations, and interval multiplicative preference relations are three common uncertain-preference formats used by decision-makers to provide their preference information in the process of decision making under fuzziness.
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GRA model for dynamic hybrid multiple attribute decision making
Journal of Intelligent & Fuzzy Systems, 2014The paper investigates the dynamic hybrid multiple attribute decision making problems, in which the decision information, provided by decision makers at different periods, is expressed in intuitionistic fuzzy numbers or interval-valued intuitionistic fuzzy numbers, respectively.
Lan He, Hui Teng
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TOPSIS method for hesitant fuzzy multiple attribute decision making
Journal of Intelligent & Fuzzy Systems, 2014The cooperative learning appeared in the globalization of education, it is a new teaching theory and strategy frequently used to study the new things and to solve the new problems by group cooperation. The introduction of cooperative learning to fundamental curriculum reform has been a main direction of various countries' education reforms and develops.
Xie Feng +3 more
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Multiple-attribute decision making problems based on SVTNH methods
Journal of Ambient Intelligence and Humanized Computing, 2019The neutrosophic set (NS) is a leading tool in modeling of situations involving incomplete, indeterminate and inconsistent information. The single-valued neutrosophic sets (SVNs) is more useful tool than neutrosophic sets in some applications of engineering and scientific problems.
Chiranjibe Jana +2 more
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Improved Multiple Attribute Decision Making Methods
2012The improved multiple attribute decision making methods for decision making in the manufacturing environment are described in this chapter.
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Multiple attribute decision making problems with mixed uncertain information
2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010This paper presents a novel method for multiple attribute decision making problems, in which interval numbers are used to assess the weights of attributes, and fuzzy linguistic variables are utilized to evaluate the suitability of alternatives versus various attributes.
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Multiple Attribute Decision Making in the Manufacturing Environment
2012Manufacturing can be defined as the application of mechanical, physical, and chemical processes to modify the geometry, properties, and/or appearance of a given starting material in the making of new, finished parts or products. This effort includes all intermediate processes required for the production and integration of a product’s components ...
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