نتایج جستجو برای: compromise ratio ranking method
تعداد نتایج: 2096041 فیلتر نتایج به سال:
In this paper, we propose a novel method for ranking a set of fuzzy numbers. In this method a preference index is proposed based on $alpha$-optimistic values of a fuzzy number. We propose a new ranking method by adopting a level of credit in the ordering procedure. Then, we investigate some desirable properties of the proposed ranking method.
Implementation credit rating for Corporates is influenced by Different circum-stances, systems, processes, and cultures in each country. In this study, we pro-posed a Factor analysis modified approach for determine important factors on real data set of 123 accepted corporate in Tehran Securities Exchange for the years 2009-2017 of diverse range of 52 variable. We estimated the priority score fo...
The research deals with the market assessment of pear varieties in Serbia. Market represents willingness customers to consume a certain fruit or variety. This applies based on expert decision making. Together experts, criteria and pears used are determined. Ten six that mostly grown Serbia used. Experts evaluated linguistic values according selected criteria. Based these values, using fuzzy log...
This paper deals with preference representation and aggregation in combinatorial domains. We assume that the set of alternatives is defined as the cartesian product of finite domains and that agents’ preferences are represented by generalized additive decomposable (GAI) utility functions. GAI functions allow an efficient representation of interactions between attributes while preserving some de...
Ranking fuzzy numbers plays a very important role in the decision process, data analysis, and applications. The last few decades have seen a large number of methods investigated for ranking fuzzy numbers. The most commonly used approach for ranking fuzzy numbers is ranking indices based on the centroids of fuzzy numbers. However, there are some weaknesses associated with these indices. This pap...
This paper deals with preference representation and aggregation in the context of multiattribute utility theory. We consider a set of alternatives having a combinatorial structure. We assume that preferences are compactly represented by graphical utility models derived from generalized additive decomposable (GAI) utility functions. Such functions enable to model interactions between attributes ...
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