Logical Structures for Representation of Knowledge and Uncertainty
To answer questions concerning previously supplied information the book uses a truth table or 'chain set' logic which combines probabilities with truth values (= possibilities of fuzzy set theory). Answers to questions can be 1 (yes); 0 (no); m (a fraction in the case of uncertain informat...
Main Author: | |
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Format: | eBook |
Language: | English |
Published: |
Heidelberg
Physica
1998, 1998
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Edition: | 1st ed. 1998 |
Series: | Studies in Fuzziness and Soft Computing
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Subjects: | |
Online Access: | |
Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- BP Logic
- Chain Set and Probability Overview
- BP Chain Sets I, Affirmation, Negation, Conjunction, Disjunction
- BP Chain Sets II, Special Cases of Chain Sets
- BP Chain Sets III, Precise Formulations
- Inferences or the Answering of Questions
- Inferences with Higher Level Chain Sets
- IF THEN Information
- Various IF THEN Topics
- M Logic
- The M-Notation and Ignorance vs Uncertainty
- Two Types of Updating of Probabilities
- Operations and Ignorance in the M Logic
- Modus Ponens and Existence Updating
- IF THEN Information in the M Logic
- Existence Structures
- Existence Inferences
- Conditional and Joint Existence Information and Inferences
- Attributes and The Alex System versus Chain Sets
- Attributes and the Alex System versus Chain Sets
- Solutions to Some Exercises