نتایج جستجو برای: fuzzy techniques

تعداد نتایج: 710207  

Journal: :journal of advances in computer research 2014
haleh nazari homayun motameni babak shirazi

since the pioneering work of zadeh, fuzzy set theory has been applied to amyriad of areas. song and chissom introduced the concept of fuzzy time series andapplied some methods to the enrolments of the university of alabama. thereafter weapply fuzzy techniques for system identification and apply statistical techniques tomodelling system. an automatic methodology framework that combines fuzzytech...

Journal: :journal of optimization in industrial engineering 2010
abolfazl kazemi hassan haleh vahid hajipour seyed habib a. rahmati

measurement systems analysis (msa) has been applied in different aspect of industrial assessments to evaluate various types of quantitative and qualitative measures. qualification of a measurement system depends on two important features: accuracy and precision. since the capability of each quality system is severely related to the capability of its measurement system, the weakness of the two ...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه یزد 1388

this study considers the level of increase in customer satisfaction by supplying the variant customer requirements with respect to organizational restrictions. in this regard, anp, qfd and bgp techniques are used in a fuzzy set and a model is proposed in order to help the organization optimize the multi-objective decision-making process. the prioritization of technical attributes is the result ...

A. Alvarado-Iniesta D. J. Valles-Rosales J. L. Garca-Alcaraz L. Perez-Domnguez

Dimensional analysis, for multi-criteria decision making, is a mathematical method that includes diverse heterogeneous criteria into a single dimensionless index. Dimensional Analysis, in its current definition, presents the drawback to manipulate fuzzy information commonly presented in a multi-criteria decision making problem. To overcome such limitation, we propose two dimensional analysis ba...

Journal: :iranian journal of optimization 2010
s.h. nasseri s. mizuno

ranking fuzzy numbers plays a very important role in linguistic decision making and other fuzzy application systems. in spite of many ranking methods, no one can rank fuzzy numbers with human intuition consistently in all cases. shortcoming are found in some of the convenient methods for ranking triangular fuzzy numbers such as the coefficient of variation (cv index), distance between fuzzy set...

Journal: :International Journal of Computer Applications 2014

Journal: :Journal of Intelligent & Fuzzy Systems 2018

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