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I. Burhan Turksen
Researcher at University of Toronto
Publications - 98
Citations - 2660
I. Burhan Turksen is an academic researcher from University of Toronto. The author has contributed to research in topics: Fuzzy logic & Fuzzy set. The author has an hindex of 25, co-authored 98 publications receiving 2475 citations. Previous affiliations of I. Burhan Turksen include TOBB University of Economics and Technology.
Papers
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Journal ArticleDOI
Portfolio selection based on fuzzy probabilities and possibility distributions
TL;DR: Two kinds of portfolio selection models are proposed based on fuzzy probabilities and possibility distributions, respectively, rather than conventional probability distributions in Markowitz's model.
Journal ArticleDOI
Type 2 representation and reasoning for CWW
TL;DR: In the new millennium more and more researchers will attempt to capture Type 2 representation and develop reasoning with Type 2 formulas that reveal the rich information content available in information granules, as well as expose the risk associated with the graded representation of words and computing with words.
Journal ArticleDOI
Review: Industrial applications of type-2 fuzzy sets and systems: A concise review
TL;DR: The analysis on the industrial applications of type-2 fuzzy sets/systems (FSs) in different topics allowed us to summarize the existing research areas and therefore it is expected to be useful to prioritize future research topics.
Book ChapterDOI
Measurement of Membership Functions: Theoretical and Empirical Work
Taner Bilgiç,I. Burhan Turksen +1 more
TL;DR: In this article, a review of various interpretations of the fuzzy membership function together with ways of obtaining a membership function is presented, emphasizing that different interpretations call for different elicitation methods.
BookDOI
Modeling Uncertainty with Fuzzy Logic
TL;DR: This book presents an uncertainty modeling approach using a new type of fuzzy system model via "Fuzzy Functions", which may be a reference for some related methodologies to most researchers on fuzzy systems analyses.