نتایج جستجو برای: interval type ii fuzzy logic

تعداد نتایج: 2150852  

Journal: :Journal of Japan Society for Fuzzy Theory and Systems 1990

2012
Mohammad El-Bardini Ahmad M. El-Nagar

osting by E Abstract Direct adaptive fuzzy controller is a class of adaptive fuzzy controllers which use fuzzy logic system (FLS) as controller. Interval type-2 fuzzy sets are able to model and minimize the numerical and linguistic uncertainties associated with the inputs and outputs of fuzzy logic controller (FLC). In this paper, a direct adaptive interval type-2 FLC is proposed for controllin...

2006
Yu Qiu YU QIU Yanqing Zhang Raj Sunderraman Ying Zhu

AND ITS APPLICATION by YU QIU Under the Direction of Yanqing Zhang ABSTRACT In recent years, the type-2 fuzzy sets theory has been used to model and minimize the effects of uncertainties in rule-base fuzzy logic system. In order to make the type-2 fuzzy logic system reasonable and reliable, a new simple and novel statistical method to decide interval-valued fuzzy membership functions and a new ...

2015
Shweta Shukla

The objective of this paper is to present an approach that utilizes an interval type-2 fuzzy decision making system (IT2FDMS) to quantify the Project Management Efficiency (PME). The algorithm developed in this paper is based upon interval type-2 fuzzy logic, giving it the ability to solve complex problems plagued with uncertainty and vagueness. A interval type-2 fuzzy decision making system is...

2014
Ziyad T. Allawi Turki Y. Abdalla

In this paper, a new way of optimizing fuzzy logic is introduced. This way is used to optimize the output of Interval Type-2 Fuzzy Logic controller by replacing the Defuzzification stage by the Optimization algorithm. The algorithm chooses the best crisp output variable from the type-reduced set which is the output of the Type-Reduction stage instead of averaging the set extremes which was perf...

2014
Suman Lata Mohammad Ayyub

This paper presents the theory and design of interval type-2 fuzzy logic systems (FLSs) because of computational complexity of using general type-2 fuzzy set (T2FS) in type-2 fuzzy system. We propose an efficient and simplified method to compute the input and antecedent operations for interval type-2 FLSs; one that is based on a general inference formula for them. We introduce the concept of up...

2005
Ling Gu LING GU Yanqing Zhang Raj Sunderraman Ying Zhu

Finding a product with high quality and reasonable price online is a difficult task due to the fuzzy nature of data and queries. In order to handle the fuzzy problem, a new type-2 fuzzy reasoning based decision support system, the Web Shopping Expert for online users is proposed. In the Web Shopping Expert, an interval type-2 fuzzy logic system is used and a fuzzy output can be obtained using t...

Journal: :Knowl.-Based Syst. 2009
Simon Miller Robert Ivor John

Planning resources for a supply chain is a major factor determining its success or failure. In this paper we build on previous work introducing an Interval Type-2 Fuzzy Logic model of a multiple echelon supply chain. It is believed that the additional degree of uncertainty provided by Interval Type-2 Fuzzy Logic will allow for better representation of the uncertainty and vagueness present in re...

2015
Bo Yao Hani Hagras

I Acknowledgments IV List of Figures X List of Tables XIV List of Abbreviations XV Publications Arising from This Work XVIII Chapter 1: Introduction .................................................................................................. 1 1.1 Aims, Significance, Novelty ........................................................................... 6 1.1.1 Aims .............................

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