نتایج جستجو برای: interval type 2 fuzzy sets it2 fss

تعداد نتایج: 3804914  

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 .............................

2006
Simon Coupland

Recently there has been significant growth in research interest in type-2 fuzzy logic. Type-2 fuzzy logic is extension of type-1 (regular) fuzzy logic where the membership grade in a fuzzy set is itself measured as a fuzzy number. Much of this growth has only been concerned with type-2 interval fuzzy systems, a subset of type-2 fuzzy systems, where the membership grade of a fuzzy set is given a...

Journal: :Information Sciences 2021

Electric vehicles are the key to facilitating transition low-carbon ‘green’ transport. However, there concerns with their range and location of charging stations which delay a full-fledged adoption use. Hence, electric infrastructure in given region is critical mitigating those concerns. In this study, an interval type-2 fuzzy set based multi-criteria decision-making method introduced for selec...

Journal: :Mathematical Problems in Engineering 2013

Journal: :INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS 2019

Journal: :Algorithms 2022

The fault detection system using automated concepts is a crucial aspect of the industrial process. can contribute efficiently in minimizing equipment downtime therefore improving production process cost. This paper highlights novel model based (FD) approach combined with an interval type-2 (IT2) Takagi–Sugeno (T–S) fuzzy for drilling uncertainty considered prevailing during process, and methodo...

2014
A. NIEWIADOMSKI M. KACPROWICZ

This paper presents research on applications of fuzzy logic and higher-order fuzzy logic systems to control filters reducing air pollution [1]. The filters use Selective Catalytic Reduction (SCR) method and, as for now, this process is controlled manually by a human expert. The goal of the research is to control an SCR system responsible for emission of nitrogen oxide (NO) and nitrogen dioxide ...

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