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Computing with Words: Principal Concepts and Ideas by Lotfi A. Zadeh (English) P
US $165.56
ApproximatelyS$ 213.37
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Brand New
A new, unread, unused book in perfect condition with no missing or damaged pages.
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Located in: Fairfield, Ohio, United States
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eBay item number:389055860626
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- ISBN-13
- 9783642436499
- Book Title
- Computing with Words
- ISBN
- 9783642436499
About this product
Product Identifiers
Publisher
Springer Berlin / Heidelberg
ISBN-10
3642436498
ISBN-13
9783642436499
eBay Product ID (ePID)
205664998
Product Key Features
Number of Pages
Xiv, 142 Pages
Publication Name
Computing with Words : Principal concepts and Ideas
Language
English
Publication Year
2014
Subject
Engineering (General), Intelligence (Ai) & Semantics, Natural Language Processing, Computer Science, Logic
Type
Textbook
Subject Area
Mathematics, Computers, Technology & Engineering
Series
Studies in Fuzziness and Soft Computing Ser.
Format
Trade Paperback
Dimensions
Item Weight
16 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
Dewey Edition
23
Series Volume Number
277
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
006.35
Table Of Content
From the content: What Is Computing With Words.- Essence Of CWW.- Basic Structure Of CWW.- Phases Of CWW.- Levels Of Complexity In CWW.- Imprecision Of Natural Languages And Fuzzy Logic.- Principal Rationales For Computing With Words.
Synopsis
In essence, Computing with Words (CWW) is a system of computation in which the objects of computation are predominantly words, phrases and propositions drawn from a natural language. CWW is based on fuzzy logic. In science there is a deep-seated tradition of according much more respect to numbers than to words. In a fundamental way, CWW is a challenge to this tradition. What is not widely recognized is that, today, words are used in place of numbers in a wide variety of applications ranging from digital cameras and household appliances to fraud detection systems, biomedical instrumentation and subway trains. CWW offers a unique capability-the capability to precisiate natural language. Unprecisiated (raw) natural language cannot be computed with. A key concept which underlies precisiation of meaning is that of the meaning postulate: A proposition, p, is a restriction on the values which a variable, X-a variable which is implicit in p-is allowed to take. CWW has an important ramification for mathematics. Addition of the formalism of CWW to mathematics empowers mathematics to construct mathematical solutions of computational problems which are stated in a natural language. Traditional mathematics does not have this capability., In essence, Computing with Words (CWW) is a system of computation in which the objects of computation are predominantly words, phrases and propositions drawn from a natural language. CWW is based on fuzzy logic. In science there is a deep-seated tradition of according much more respect to numbers than to words. In a fundamental way, CWW is a challenge to this tradition. What is not widely recognized is that, today, words are used in place of numbers in a wide variety of applications ranging from digital cameras and household appliances to fraud detection systems, biomedical instrumentation and subway trains. CWW offers a unique capability--the capability to precisiate natural language. Unprecisiated (raw) natural language cannot be computed with. A key concept which underlies precisiation of meaning is that of the meaning postulate: A proposition, p, is a restriction on the values which a variable, X--a variable which is implicit in p--is allowed to take. CWW has an important ramification for mathematics. Addition of the formalism of CWW to mathematics empowers mathematics to construct mathematical solutions of computational problems which are stated in a natural language. Traditional mathematics does not have this capability., Based on fuzzy logic, CWW challenges the numerical dominance of computing by ascribing computational meaning to elements of natural language. Written by a key figure in the field, it shows how the method can solve linguistically stated computational problems.
LC Classification Number
Q342
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