An ontological and epistemological perspective of fuzzy set theory

Fuzzy set and logic theory suggest that all natural language linguistic expressions are imprecise and must be assessed as a matter of degree. But in general membership degree is an imprecise notion which requires that Type 2 membership degrees be considered in most applications related to human deci...

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Bibliographic Details
Main Author: Turksen, I. Burhan, 1937- (-)
Format: eBook
Language:Inglés
Published: Amsterdam ; Oxford : Elsevier 2006.
Edition:1st ed
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627180506719
Description
Summary:Fuzzy set and logic theory suggest that all natural language linguistic expressions are imprecise and must be assessed as a matter of degree. But in general membership degree is an imprecise notion which requires that Type 2 membership degrees be considered in most applications related to human decision making schemas. Even if the membership functions are restricted to be Type1, their combinations generate an interval - valued Type 2 membership. This is part of the general result that Classical equivalences breakdown in Fuzzy theory. Thus all classical formulas must be reassessed with an uppe
Item Description:Description based upon print version of record.
Physical Description:1 online resource (543 p.)
Bibliography:Includes bibliographical references and index.
ISBN:9781281025432
9786611025434
9780080525716