نتایج جستجو برای: using fuzzy inference system fis

تعداد نتایج: 5040253  

2011
Paul-Antoine Bisgambiglia Bastien Poggi Celine Nicolai

Fuzzy Inference Systems (FIS) have the advantage of relying on the properties of Fuzzy Logic to represent imperfect information so gradually, and manipulate them from a linguistic description. This exibility of representation is more signi cant for the study of complex systems. Our aims are to propose a formal approach for describing FIS as a Discrete Event System (DES), and to extend a DES in ...

Journal: :مهندسی عمران فردوسی 0
مهدی اژدری مقدم احسان جعفری ندوشن

labyrinth spillway is an appropriate option to pass pmf discharge. the most advantages of this type of spillway are higher discharge capacity, easy aeration as well as low fluctuations of flow surface. it is essential to find the optimum geometry considering the maximum passing discharge under specific hydraulic conditions with minimum construction cost. in this study, fuzzy inference system (f...

Journal: :Inf. Sci. 2007
Mingzhen Wei Baojun Bai Andrew H. Sung Qingzhong Liu Jiachun Wang Martha E. Cather

Decision making pertaining to injection profiles during oilfield development is one of the most important factors that affect the oilfields’ performance. Since injection profiles are affected by multiple geological and development factors, it is difficult to model their complicated, non-linear relationships using conventional approaches. In this paper, two adaptivenetwork-based fuzzy inference ...

2017
Amir Masoud Rahimi

Original scientific paper This paper proposes a Neuro-fuzzy system for quantitative assessment of the effects of intelligent transportation systems and technologies on road fatalities. The basic idea in developing Neuro-fuzzy system is the fact that intelligent transportation systems and technologies activate some safety mechanisms and in turn the activation of safety mechanisms will have a pos...

2007
Tomás Arredondo Félix Vásquez Diego Candel Lioubov Dombrovskaia Loreine Agulló Macarena Córdova Valeria Latorre-Reyes Felipe Calderón Michael Seeger

Fuzzy based models have been used in many areas of research. One issue with these models is that rule bases have the potential for indiscriminant growth. Inference systems with large number of rules can be overspecified, have model comprehension issues and suffer from bad performance. In this research we investigate the use of a genetic algorithm towards the generation of a fuzzy inference syst...

Cloud computing gives a large quantity of processing possibilities and heterogeneous resources, meeting the prerequisites of numerous applications at diverse levels. Therefore, resource allocation is vital in cloud computing. Resource allocation is a technique that resources such as CPU, RAM, and disk in cloud data centers are divided among cloud users. The resource utilization, cloud service p...

Background and Objectives: One of the problems in juice membrane clarification is the accumulation and deposition of rejected compounds on membrane surfaces or inside its pores which results in a membrane fouling. Materials and Methods: Several parameters can have influence on fouling in one hand and prediction of juice permeates flux during the membrane processing is of importance in indust...

The present paper aimed at developing an approach based on Fuzzy Inference System (FIS) for measuring of knowledge sharing in the organization. In recent years there has been increasing interest in the knowledge sharing by experts and managers in the world, according to increasing importance of knowledge as the key source of competitive advantage, organizations have made serious effort to find ...

2013
Vassilis G. Kaburlasos Athanasios Kehagias

A Fuzzy Inference System (FIS) typically implements a function f : R → T, where the domain set R denotes the totally-ordered set of real numbers, whereas the range set T may be either T = R (i.e. FIS regressor) or T may be a set of labels (i.e. FIS classifier), etc. This work considers the complete lattice (F,1) of Type-1 Intervals’ Numbers, or INs for short, where an IN F can be interpreted as...

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