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In uncertain decision environment, multiple decision makers are always invited to give their preference information on alternatives. Different formats of preference information would be employed because of decision makers' different culture and education backgrounds. In this study, six types of preference information are used by the decision makers and normalized into utility values. The individual...
In order to evaluate the quality of the electronic journals published on the Internet, this paper proposes a multi-attribute group decision approach. According to the respective characteristics of the different attributes, the appropriate linguistic evaluation sets are designed for assessing the journals. The basic linguistic evaluation set is set up, based on which various linguistic evaluation terms...
This paper focuses on the multiple attribute decision making problems with the attribute values being preference orderings and interval numbers evaluations. For the attributes with preference orderings evaluations, the fuzzy preference relation between the alternatives are calculated and the their rankings values are further normalized by measuring their relative distances to the ideal point; For...
This paper focuses on the multiple attribute decision making problems with the attribute values being numeric, interval and linguistic evaluations. The decision matrix is normalized by calculating the grey relation coefficients of the interval and linguistic attribute values to their corresponding positive ideal ones. Furthermore, a mathematical programming model is set up to figure out the attribute...
This paper focuses on the multiple attribute decision making problems with the attribute values being numeric, uncertain fuzzy selected subset and linguistics variable evaluations. For the fuzzy selected subset attribute values, by calculating the fuzzy preference relation between them and the quantifier guided dominance degrees of them can be obtained as their single-point evaluations. For the linguistics...
This paper proposes a grey relation-based approach to customer value assessment while customerspsila information is expressed in the form of interval numbers. By calculating the grey relation coefficient between interval attribute values and the ideal one, the decision matrix in the form of interval is transformed into a definite one, based on which the attribute weights are determined in order to...
This paper proposes a new approach to the uncertain multiple attribute decision making problems based on the grey-relation theory, where the attribute values in decision matrix is expressed in the form of intervals and definite values. In the approach, the attributes are classified into two categories: the definite and the interval. Based on the grey relation theory, the attribute values are normalized...
This paper proposes an approach to customer value assessment based on Max-Entropy and TOPSIS, while customerspsila information are interval numbers. The decision matrix in the form of interval is normalized and transformed into a definite one based on maximizing the entropy of the decision matrix; The weights of attributes are then determined, which are used in assessing the alternatives based on...
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