An Ontological and Epistemological Perspective of Fuzzy Set Theory

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Science & Nature, Mathematics, General Computing
Cover of the book An Ontological and Epistemological Perspective of Fuzzy Set Theory by I. Burhan Türksen, Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: I. Burhan Türksen ISBN: 9780080525716
Publisher: Elsevier Science Publication: November 15, 2005
Imprint: Elsevier Science Language: English
Author: I. Burhan Türksen
ISBN: 9780080525716
Publisher: Elsevier Science
Publication: November 15, 2005
Imprint: Elsevier Science
Language: English

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 upper and lower expression that are generated by the breakdown of classical formulas.

Key features:

- Ontological grounding
- Epistemological justification
- Measurement of Membership
- Breakdown of equivalences
- FDCF is not equivalent to FCCF
- Fuzzy Beliefs
- Meta-Linguistic axioms

- Ontological grounding
- Epistemological justification
- Measurement of Membership
- Breakdown of equivalences
- FDCF is not equivalent to FCCF
- Fuzzy Beliefs
- Meta-Linguistic axioms

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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 upper and lower expression that are generated by the breakdown of classical formulas.

Key features:

- Ontological grounding
- Epistemological justification
- Measurement of Membership
- Breakdown of equivalences
- FDCF is not equivalent to FCCF
- Fuzzy Beliefs
- Meta-Linguistic axioms

- Ontological grounding
- Epistemological justification
- Measurement of Membership
- Breakdown of equivalences
- FDCF is not equivalent to FCCF
- Fuzzy Beliefs
- Meta-Linguistic axioms

More books from Elsevier Science

Cover of the book Spintronics by I. Burhan Türksen
Cover of the book Advances in Virus Research by I. Burhan Türksen
Cover of the book Human Biochemistry by I. Burhan Türksen
Cover of the book High Voltage Vacuum Insulation by I. Burhan Türksen
Cover of the book Osmosensing and Osmosignaling by I. Burhan Türksen
Cover of the book Handbook for Transversely Finned Tube Heat Exchanger Design by I. Burhan Türksen
Cover of the book Nanomagnetism by I. Burhan Türksen
Cover of the book NMR In Physiology and Biomedicine by I. Burhan Türksen
Cover of the book NMR of Polymers by I. Burhan Türksen
Cover of the book Combined Heat and Power by I. Burhan Türksen
Cover of the book Bio-Based Polymers and Composites by I. Burhan Türksen
Cover of the book Summary of International Energy Research and Development Activities 1974-1976 by I. Burhan Türksen
Cover of the book Applied Underwater Acoustics by I. Burhan Türksen
Cover of the book Atlas of Neutron Resonances by I. Burhan Türksen
Cover of the book Real World Drug Discovery by I. Burhan Türksen
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy