Inference Processes on Clustered Partial Decision Rules
نویسندگان
چکیده
The aim of the paper is to study efficeient of inference process using clustered partial decision rules. Partial decision rules are constructed by greedy algorithm. They are clustered with Agglomerative Hierarchical Clustering (AHC) algorithm. We study how exact and partial decision rules clustered by AHC algorithm influence on inference process in knowledge base. Clusters of rules are a way of modularization of knowledge bases in Decision Support Systems. Results of experiemnts present how different facors (e.g. rule length, number of facts given as an input knowledge) can influence on the efficiency of inference process.
منابع مشابه
Inference Processes in Decision Support Systems with Incomplete Knowledge
Authors propose a new approach in the optimization of inference processes in decision support systems with incomplete knowledge. The idea is based on clustering large set of rules from knowledge bases as long as it is necessary to find a relevant rule as quickly as possible. This work is highly focused on the results of experiments regarding the influence of Agnes’ algorithm parameters on the q...
متن کاملPredicting stock prices on the Tehran Stock Exchange by a new hybridization of Fuzzy Inference System and Fuzzy Imperialist Competitive Algorithm
Investing on the stock exchange, as one of the financial resources, has always been a favorite among many investors. Today, one of the areas, where the prediction is its particular importance issue, is financial area, especially stock exchanges. The main objective of the markets is the future trend prices prediction in order to adopt a suitable strategy for buying or selling. In general, an inv...
متن کاملInference Processes Using Incomplete Knowledge in Decision Support Systems - Chosen Aspects
The authors propose to use cluster analysis techniques (particularly clustering) to speed-up the process of finding rules to be activated in complex decision support systems with incomplete knowledge. The authors also wish to inference within such decision support systems using rules, of which premises are not fully covered by the facts. The AHC or mAHC algorithm is used. The authors adapted Sa...
متن کاملThe HeKatE methodology. Hybrid engineering of intelligent systems
This paper describes a new approach, the HeKatE methodology, to the design and development of complex rule-based systems for control and decision support. The main paradigm for rule representation, namely, eXtended Tabular Trees (XTT), ensures high density and transparency of visual knowledge representation. Contrary to traditional, flat rule-based systems, the XTT approach is focused on groups...
متن کاملAccelerated decomposition techniques for large discounted Markov decision processes
Many hierarchical techniques to solve large Markov decision processes (MDPs) are based on the partition of the state space into strongly connected components (SCCs) that can be classified into some levels. In each level, smaller problems named restricted MDPs are solved, and then these partial solutions are combined to obtain the global solution. In this paper, we first propose a novel algorith...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009