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Witold Pedrycz
Researcher at University of Alberta
Publications - 1966
Citations - 69104
Witold Pedrycz is an academic researcher from University of Alberta. The author has contributed to research in topics: Fuzzy logic & Fuzzy set. The author has an hindex of 101, co-authored 1766 publications receiving 58203 citations. Previous affiliations of Witold Pedrycz include University of Winnipeg & King Abdulaziz University.
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Calibration of software quality: Fuzzy neural and rough neural computing approaches
TL;DR: This paper compares different neural computing approaches to estimating the number of changes needed in a software product based on assessments of software quality: fuzzy neural computation based on fuzzy sets and rough neural computationbased on rough sets.
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A Hybrid Intelligent Approach to Integrated Fuzzy Multiple Depot Capacitated Green Vehicle Routing Problem With Split Delivery and Vehicle Selection
TL;DR: A vehicle routing problem with generalized fuzzy travel times, multiple depots, split delivery, and heterogenous, capacitated, alternative fuel driven vehicles is studied and a hybrid genetic algorithm (GA) is designed to produce efficient solutions.
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An algorithmic framework for development and optimization of fuzzy models
TL;DR: Fuzzy models can be conveniently regarded as linguistic modelling structures with well-defined functional blocks of input and output interfaces along with a processing module, and the relevant optimization tasks which accrue to them are examined.
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Fuzzy time series forecasting based on axiomatic fuzzy set theory
TL;DR: This study takes the distribution of data into account to position time series in the framework of fuzzy sets and develops a method to determine the prototypes based on the corresponding fuzzy description of the clusters, which can effectively improve forecasting accuracy.
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Hesitant 2-tuple linguistic Bonferroni operators and their utilization in group decision making
TL;DR: A new group decision making approach is designed to address the information fusion involving the interrelationship between aggregated terms and the prioritization relationship among decision makers under hesitant 2-tuple linguistic situation.