Journal ArticleDOI
Grey relational analysis model for dynamic hybrid multiple attribute decision making
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TLDR
The dynamic hybrid multiple attribute decision making problems, in which the decision information is expressed in real numbers, interval numbers or linguistic labels, are investigated and the concept of fuzzy membership grade and clustering is adopted to aggregate the grey relational degree of all the evaluated periods.Abstract:
In this paper, the dynamic hybrid multiple attribute decision making problems, in which the decision information, provided by decision makers at different periods, is expressed in real numbers, interval numbers or linguistic labels (linguistic labels can be described by triangular fuzzy numbers), respectively, are investigated. The method first utilizes three different GRA (grey relational analysis (real-valued GRA, interval-valued GRA and fuzzy-valued GRA) to calculate the individual grey relational degree of each alternative to the positive and negative ideal alternatives based on the decision information expressed in real numbers, interval numbers and linguistic labels, respectively, provided by each decision maker at each period, and then adopt the concept of fuzzy membership grade and clustering to aggregate the grey relational degree of all the evaluated periods. Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness.read more
Citations
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A novel hybrid MCDM model combining the SAW, TOPSIS and GRA methods based on experimental design
TL;DR: A hybrid MCDM method combining simple additive weighting (SAW), techniques for order preference by similarity to an ideal solution (TOPSIS) and grey relational analysis (GRA) techniques, which can guide a decision maker in making a reasonable judgment without requiring professional skills or extensive experience is presented.
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Extended TODIM method for hybrid multiple attribute decision making problems
TL;DR: An extended TODIM method is proposed to solve the hybrid MADM problem and two numerical examples are used to illustrate the use of the proposed method.
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Some Cosine Similarity Measures for Picture Fuzzy Sets and Their Applications to Strategic Decision Making
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Some dependent aggregation operators with 2-tuple linguistic information and their application to multiple attribute group decision making
Guiwu Wei,Xiaofei Zhao +1 more
TL;DR: This paper develops some dependent 2-tuple linguistic aggregation operators: the dependent 2 -tuple ordered weighted averaging (D2TOWA) operator and the dependent 1-to-1 ordered weighted geometric (D 2TOWG) operator, in which the associated weights only depend on the aggregated 2-Tuple linguistic arguments.
Journal ArticleDOI
TODIM Method for Multiple Attribute Group Decision Making under 2-Tuple Linguistic Neutrosophic Environment
Jie Wang,Guiwu Wei,Mao Lu +2 more
TL;DR: The original TODIM (Portuguese acronym for Interactive Multi-Criteria Decision Making) method is extended to the 2-tuple linguistic neutrosophic fuzzy environment to propose the 2TLNNs TODIM method, which is more reasonable and scientific in considering the subjectivity of DM’s behaviors and the dominance of each alternative over others.
References
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A 2-tuple fuzzy linguistic representation model for computing with words
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Linguistic decision analysis: steps for solving decision problems under linguistic information
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A fusion approach for managing multi-granularity linguistic term sets in decision making
TL;DR: A fusion approach of multi-granularity linguistic information for managing information assessed in different linguistic term sets together with its application in a decision making problem with multiple information sources, assuming that the linguistic performance values given to the alternatives by the different sources are represented in linguistic term set with different granularity and/or semantic.
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Some induced geometric aggregation operators with intuitionistic fuzzy information and their application to group decision making
TL;DR: The developed models and procedures based on I-IIFOWG and IIFWG (interval-valued intuitionistic fuzzy weighted geometric) operators are extended to solve the MAGDM problems in which both the attribute weights and the expert weights take the form of real numbers, attribute values take theform of interval-valued intuistic fuzzy numbers.