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法則庫系統之評量

Measurements for Rule Based Systems

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摘要


法則庫系統已被廣為應用於各種問題領域中。而法則庫系統發展之管理則迫切需要適切的評量方法。本研究的目的乃是提出評量法則庫系統複雜度之方法,並藉以反應出其發展所需人力。法則庫系統之評量包刮事實、法則、與推理等。因為本研究所提出的評量方法具有表達性與擴充性,所以可應用於法則庫系統發展之管理。「專家系統諮詢顧問」則被用已闡述這些評量方法的使用。

並列摘要


The objective of this study is to propose measurements for the complexities of rule based systems so as to indicate development efforts. The measurements of rule based systems include those for facts, rules, and inference relationships. Fact counts are used to measure the amounts of facts. Measurements for rules consist of volume, conditions and actions, and number of variables and wildcards. Inference measurements reflect inference relationships among rules, including distribution of rule relationships, inference ratio, and inference count. Empirical analyses are performed on Expert System Consultant (an expert system for selecting ESBTs) to illustrate the usage of these measurements. From the analyses, it is demonstrated that the measurements possess desired characteristics such as expressiveness and extendibility, and can be used for managing the development of rule based systems.

參考文獻


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Brownston, L.,Farrell, E.,Kant, E.,Martin, N.(1985).Programming Expert Systems in OPS5: An Introduction to Rule-Based Programming.Reading, MA:Addison-Wesley.
Bruce, K. B.,Wegner, P.(1990).Advances in Database Programming Languages.Reading, MA:Addison-Wesley.
Buchanan, B. G.(1987).Artificial Intelligence as an Experimental Science.CA:Knowledge Systems Laboratory, Stanford University.
Chen, Z.,Grogono, P.,Suen, C. Y.(1994).Proc. of 1994 IEEE Int'l Conf. On Systems, Man, and Cybernetics, Vol. 3 of 3.

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