Skip to search formSkip to main contentSkip to account menu

Defuzzification

Defuzzification is the process of producing a quantifiable result in Crisp logic, given fuzzy sets and corresponding membership degrees. It is… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
This hexapod fire extinguisher robot is constructed based on technological developments evolving very rapidly, especially in the… 
Review
2014
Review
2014
In this paper we present an online fuzzy logic toolkit for the design, implementation, execution and sharing of type-1 (T1… 
2014
2014
Statistical process control (SPC), an internationally recognized technique for improving product quality and productivity, has… 
2013
2013
In this study, a Genetic Algorithm (GA) is proposed to search for the optimal input membership functions of the fuzzy logic… 
2009
2009
Fuzzy State Space Model (FSSM) is a new modeling technique, which was developed for solving inverse problems in multivariable… 
2008
2008
Specifying the behavior of an intelligent autonomous robot or agent is a non-trivial task. The question is: how can the knowledge… 
2008
2008
Fuzzy control is a very successful way to transform the expert’s knowledge of the type “if the velocity is big and the distance… 
2008
2008
This paper proposes a framework for mining market basket data to generate Nutritional Patterns (NPs) and a method for analysing… 
2005
2005
This application report discusses the implementation of a fuzzy logic control algorithm using an MSP430F14x device. Fuzzy logic… 
2004
2004
The performance of content-based image retrieval (CBIR) systems mainly depends on the image similarity measure that it uses. The…