Fuzzy logic is not fuzzy: World-renowned computer scientist Lotfi A. Zadeh

I Dzitac, FG Filip, MJ Manolescu - International Journal of Computers …, 2017 - univagora.ro
Abstract In 1965 Lotfi A. Zadeh published" Fuzzy Sets", his pioneering and controversial
paper, that now reaches almost 100,000 citations. All Zadeh's papers were cited over …

[KNIHA][B] Intelligent systems for engineers and scientists: a practical guide to artificial intelligence

AA Hopgood - 2021 - taylorfrancis.com
The fourth edition of this bestselling textbook explains the principles of artificial intelligence
(AI) and its practical applications. Using clear and concise language, it provides a solid …

A review on design and implementation of type‐2 fuzzy controllers

H Jahanshahi, A Yousefpour… - … Methods in the …, 2022 - Wiley Online Library
Nowadays, advances in different fields of technology have increased demands for reliable
controllers. Uncertainty and disturbances, which are inevitable in most real‐world systems …

Type-2 intuitionistic fuzzy matrix games based on a new distance measure: Application to biogas-plant implementation problem

S Karmakar, MR Seikh, O Castillo - Applied Soft Computing, 2021 - Elsevier
In reality, to deal with uncertain information, researchers have introduced several extensions
of fuzzy sets. But, in most cases, two-dimensional fuzzy sets (considering elements with their …

An integrated interval type 2 fuzzy AHP and COPRAS-G methodologies for supplier selection in the era of Industry 4.0

S Kayapinar Kaya, E Aycin - Neural Computing and Applications, 2021 - Springer
Supply chain has a very extensive and dynamic structure that incorporates new business
models, new customer expectations, market searches and technological developments. With …

Interval type-2 fuzzy logic systems for load forecasting: A comparative study

A Khosravi, S Nahavandi, D Creighton… - … on Power Systems, 2012 - ieeexplore.ieee.org
Accurate short term load forecasting (STLF) is essential for a variety of decision-making
processes. However, forecasting accuracy can drop due to the presence of uncertainty in the …

Medical data classification using interval type-2 fuzzy logic system and wavelets

T Nguyen, A Khosravi, D Creighton, S Nahavandi - Applied Soft Computing, 2015 - Elsevier
This paper introduces an automated medical data classification method using wavelet
transformation (WT) and interval type-2 fuzzy logic system (IT2FLS). Wavelet coefficients …

Accurate segmentation of dermoscopic images by image thresholding based on type-2 fuzzy logic

ME Yueksel, M Borlu - IEEE Transactions on Fuzzy Systems, 2009 - ieeexplore.ieee.org
A novel thresholding-based segmentation approach for accurate segmentation of pigmented
skin lesion images regarding malignant melanoma diagnosis has been proposed. The …

The collapsing method of defuzzification for discretised interval type-2 fuzzy sets

S Greenfield, F Chiclana, S Coupland, R John - Information Sciences, 2009 - Elsevier
This paper proposes a new approach for defuzzification of interval type-2 fuzzy sets. The
collapsing method converts an interval type-2 fuzzy set into a type-1 representative …

Practical control structure and energy management of a testbed hybrid electric vehicle

JS Martinez, D Hissel, MC Péra… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
The aim of this paper is to present the practical control structure (PCS) and energy
management strategy of a testbed hybrid electric vehicle (HEV). This vehicle is equipped …