An Interpreter Based on Fuzzy Logic for Logic Programming

An Interpreter Based on Fuzzy Logic for Logic Programming
Author :
Publisher :
Total Pages : 170
Release :
ISBN-10 : OCLC:18676567
ISBN-13 :
Rating : 4/5 (67 Downloads)

Book Synopsis An Interpreter Based on Fuzzy Logic for Logic Programming by : Moudgal Lakshminarasimha

Download or read book An Interpreter Based on Fuzzy Logic for Logic Programming written by Moudgal Lakshminarasimha and published by . This book was released on 1987 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt:


An Interpreter Based on Fuzzy Logic for Logic Programming Related Books

An Interpreter Based on Fuzzy Logic for Logic Programming
Language: en
Pages: 170
Authors: Moudgal Lakshminarasimha
Categories: Artificial intelligence
Type: BOOK - Published: 1987 - Publisher:

DOWNLOAD EBOOK

Symbolic Logic and Logic Processing
Language: en
Pages: 371
Authors: Bindu Bansal
Categories:
Type: BOOK - Published: 2012-05 - Publisher: Laxmi Publications

DOWNLOAD EBOOK

Fuzzy-logic-based Programming
Language: en
Pages: 258
Authors: Chin-Liang Chang
Categories: Computers
Type: BOOK - Published: 1997 - Publisher: World Scientific

DOWNLOAD EBOOK

The number of fuzzy logic applications is very large. This book tells the reader how to use fuzzy logic to find solutions in areas such as control systems, fact
Fuzzy Logic for Beginners
Language: en
Pages: 117
Authors: Masao Mukaidono
Categories: Computers
Type: BOOK - Published: 2001 - Publisher: World Scientific

DOWNLOAD EBOOK

There are many uncertainties in the real world. Fuzzy theory treats a kind of uncertainty called fuzziness, where it shows that the boundary of yes or no is amb
Logic for Programming, Artificial Intelligence, and Reasoning
Language: en
Pages: 476
Authors: Matthias Baaz
Categories: Computers
Type: BOOK - Published: 2003-06-30 - Publisher: Springer

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 9th International Conference on Logic for Programming, Artificial Intelligence, and Reasoning, LPAR 2002,