Download Approximate Reasoning in Intelligent Systems, Decision and by E. Sanchez, L. A. Zadeh PDF

By E. Sanchez, L. A. Zadeh

ISBN-10: 008034335X

ISBN-13: 9780080343358

Files life like functions of approximate reasoning recommendations, with emphasis put on operational platforms. The papers offered discover new parts of sensible decision-making and keep an eye on platforms via contemplating very important points of fuzzy good judgment idea and the newest advancements within the box of specialist platforms. particular fields of program lined comprise modelling and regulate, administration, making plans, diagnostics, finance and software program. comprises 12 papers

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Extra info for Approximate Reasoning in Intelligent Systems, Decision and Control

Sample text

Acceptance of conclusions are not made in practice because they logically follow from the rules and facts, but because when taking all the available evidence into account they seem reasonable in comparison with their negations. Any indivi­ dual piece of evidence may only make a small contribution to the acceptability of the conclusion and LIIC final acceptance comes as a result of combining many such pieces of evidence. Can wu model, this practical reasoning process taking into account the various Forms of uncertainty that can arise.

The algorithm is only semi-decidable so that if the conclusion follows logically from the premises then the argument will be shown to be correct in a finite time but if the argument is not correct then it is possible that nothing is provable in finite time. This would therefore seem to provide a very powerful tool for decision making with regard to complicated application areas in which it is so easy for 37 humans to lose their way. It does though make one big assumption, namely, that it is possible to express knowledge in the form of statements that, when any variables are instantiated to constants, are either true or false.

So far we have discussed various forms of uncertainty that are present in the knowledge base of an expert system. Both rules and facts used for making inferences are subject to uncertainties and cannot be guaranteed to be true, so that statements inferred from them cannot be logical truths. Conclusions can be drawn and a degree of belief may be able to be associated with them. It is also possible that certain evidence may point strongly in favour of a given conclusion while other evidence may point strongly against it without the cancatination of evidences in any way being incompatible.

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