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...
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| Format: | Electronic eBook |
| Language: | English |
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Heidelberg :
Physica-Verlag HD : Imprint: Physica,
1998.
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| Edition: | 1st ed. 1998. |
| Series: | Studies in Fuzziness and Soft Computing,
14 |
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| Online Access: | Full Text via HEAL-Link |
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.