Titlebook: Case-Based Approximate Reasoning; Eyke Hüllermeier Book 2007 Springer Science+Business Media B.V. 2007 artificial intelligence.case-based

jaundiced

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https://doi.org/10.1007/978-1-4615-0925-7In Chapter 5, it has already been shown that fuzzy rules can be modeled formally as possibility distributions constrained in terms of a combination of the membership functions which define, respectively, their antecedent and consequent part.

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Broadband Networks and ServicesEarly work in AI has mainly focused on formal logic as a basis of knowledge representation and has largely rejected approaches from (statistical) decision theory as being intractable and inadequate for expressing the rich structure of (human) knowledge [193].

GEAR

Introduction,The idea that reasoning and problem solving (by human beings) are guided by experiences from situations which are similar to the current one has a long tradition in philosophy. It dates back at least to D.

Anguish

Similarity and Case-Based Inference,This chapter serves two purposes. Firstly, we provide some background information on similarity-based reasoning and related topics. Secondly, we introduce a formal framework of . (CBI) that provides the basis for the methods which are developed in subsequent chapters.

Ganglion-Cyst

Probabilistic Modeling of Case-Based Inference,The main idea of case-based inference is to exploit the information provided by the . of a problem ., .〉 in order to improve the prediction of an unknown outcome . = .(.).

OUTRE

Fuzzy Set-Based Modeling of Case-Based Inference II,In Chapter 5, it has already been shown that fuzzy rules can be modeled formally as possibility distributions constrained in terms of a combination of the membership functions which define, respectively, their antecedent and consequent part.

Amendment

Case-Based Decision Making,Early work in AI has mainly focused on formal logic as a basis of knowledge representation and has largely rejected approaches from (statistical) decision theory as being intractable and inadequate for expressing the rich structure of (human) knowledge [193].

GLIB

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978-90-481-7431-7Springer Science+Business Media B.V. 2007