THE IMPLEMENTATION OF FORMAL METHODS FOR INTELLIGENT CONTROL BASED ON FUZZY KNOWLEDGE ABOUT THE OIL AND GAS OBJECTS
Keywords:
oil and gas object, intelligent systems, rules, fuzzy rules, knowledge, logical inference, fuzziness, uncertainty, knowledgebase, fuzzy logic.Abstract
The structure, methods and means for the usage of rules in intelligent information systems that can operate with oil and gas objects were analyzed; and also the usage of rules in intelligent information systems in terms of date-bases and knowledge about oil and gas objects were studied. There were pointed out the following classes and functionality of rules: definite rules, rules with uncertainty, rules with certainty factors, fuzzy rules with linguistic entries. We also studied the structure of formal approach of intelligent control implementation in automated systems on the basis of fuzzy logic and fuzzy sets with central element in the form of fuzzy rules knowledgebase. There was proposed a structuring for functionality of cycle stages in fuzzification and defuzzification of input set of crispy data about generation of control action on the set of oil and gas objects and their components; we defined the main procedural elements for organization of fuzzy inference output, functionality peculiarities of compositional transformations and the entity of defuzzification procedure of the results in data intelligent processing within the automated intellectual system with an objective to transmit them to the lower control level in the crispy form. The main result of the research is defining of conception for construction of effective control in automated intelligent systems by means of classifying data working set on the following categories: structured, unstructured, semistructured, crispy and fuzzy data, and defining of the strategy for intelligent control based on the rules with linguistic entries and application of methods for verification of membership functions.
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