Fril - Fuzzy and Evidential Reasoning in Artificial Intelligence (Uncertainty theory in artificial intelligence series) - Hardcover

Baldwin, J.f.

Hardcover

ISBN 10: 0863801595 ISBN 13: 9780863801594

Publisher: Research Studies Pre, 1995

Synopsis

The knowledge engineer requires modelling paradigms and associative inference methods that can be used for software development of practical applications. This book presents a theory of uncertainty relevant to knowledge engineering that is consistent with, and brings together, the theories of probability and fuzzy sets. It extends the logic programming form of knowledge representation and method of inference to allow the inclusion of uncertainties such as probabilistic knowledge and fuzzy incompleteness. It describes the application to general areas of knowledge engineering such as expert and decision-support systems, evidential and case-based reasoning, fuzzy control and fuzzy databases. Fril, the artificial intelligence language that implements this theory of uncertainty in the style of logic programming, is presented, with many examples and modules for the various applications. Two Fril demonstration disks are provided free in the book, one for the Macintosh computer and one for the IBM PC, so that the reader can implement these examples while following the text.

About this title

Review:

The book is a good tutorial on programming in a new language called Fril. The book represents also the theoretical background of Fril, which is a combination of fuzzy reasoning, possibility reasoning, probability reasoning, and reasoning in a symbolic AI logic programming system. Bringing all these paradigms in one system is the main achievement of the book. The book is written in a very clear style with plenty of examples to illustrate the variety of methods implemented in Fril.
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE
ook is a good tutorial on programming in a new language called Fril. The book represents also the theoretical background of Fril, which is a combination of fuzzy reasoning, possibility reasoning, probability reasoning, and reasoning in a symbolic AI logic programming system. Bringing all these paradigms in one system is the main achievement of the book. The book is written in a very clear style with plenty of examples to illustrate the variety of methods implemented in Fril.
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE

About this edition

• Publisher: Research Studies Pre
• Publication date: 1995
• ISBN 10: 0863801595
• ISBN 13: 9780863801594
• Binding: Hardcover
• Number of pages: 400