On Multi-granular Fuzzy Linguistic Modelling in Decision Making
نویسندگان
چکیده
منابع مشابه
On Multi-granular Fuzzy Linguistic Modelling in Decision Making
Nowadays, the human-computer interaction is being a hot topic. In such a way, several methods have been proposed to deal with multi-granularity when people with different knowledge level express their preferences on the same concept using linguistic notation, that is, words instead of numbers. This is a critical problem in group decision making scenarios, but all the existing approaches have th...
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The reaching of consensus in group decision-making (GDM) problems is a common task in group decision processes. In this contribution, we consider GDM with linguistic information. Different experts may have different levels of knowledge about a problem and, therefore, different linguistic term sets (multi-granular linguistic information) can be used to express their opinions. The aim of this pap...
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The designer of a model to solve decision making problems usually have to face different aspects to finally be able to obtain the solution for a problem. Many of this aspects directly depend on the representation format and semantics of the information provided by the experts. In many occasions experts can not easily represent their preferences using artificial preference structures as fuzzy pr...
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Sometimes, an individual may have vague information about the preference degree between two alternatives and can not estimate his preferences with an exact numerical value. Then, a possible approach is to use linguistic assessments instead of numerical values, that is, to suppose that the preference relations are assessed by means of linguistic terms. A scale of certainty expressions, linguisti...
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Because of the complexity of decision-making environment, the uncertainty of fuzziness and the uncertainty of grey maybe coexist in the problems of multi-attribute group decision making. In this paper, we study the problems of multi-attribute group decision making with hybrid grey attribute data (the precise values, interval numbers and linguistic fuzzy variables coexist, and each attribute val...
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2015
ISSN: 1877-0509
DOI: 10.1016/j.procs.2015.07.049