Case-based reasoning-based lake and reservoir water bloom control complex dynamic correlation model and decision making method

Abstract

The invention discloses a case-based reasoning-based lake and reservoir water bloom control complex dynamic correlation model and decision making method and belongs to the environmental engineering technical field. According to the method of the invention, based on case-based reasoning, the architecture framework of a case-based reasoning-based lake and reservoir water bloom decision making system is provided according to a 4R model; a water bloom body is constructed with the protege tool so as to be adopted as the base of case representation; a case library is built; case retrieval is divided into case reasoning and into matching; preliminary screening and case matching are completed, a matched case is obtained; and after being adjusted by domain experts, the matched case is applied to a target case and is saved to the case library. With the method of the invention adopted, the thinking process of expert experience can be imitated, artificial intelligent decision making can be carried out, and therefore, a decision making result more accords with actual lake and reservoir water bloom control situations, the accuracy and reliability of the decision making result can be obviously improved; and decision making efficiency can be improved, and decision making time can be shortened.

Description

technical field [0001] The invention relates to the establishment of a complex dynamic correlation model among multiple attributes and the research on corresponding decision-making methods in the process of water bloom control in lakes and reservoirs based on case reasoning, and belongs to the technical field of environmental engineering. Specifically, on the basis of in-depth research on various known water bloom control schemes in lakes and reservoirs, by analyzing the characteristics of the outbreak process of lakes and reservoirs in different states and the relationship between them and multiple associated attributes, Use case reasoning to solve the feasible governance method suitable for the target case in a dynamic environment. To achieve the systematic learning and comprehensive utilization of previous knowledge of water bloom control in lakes and reservoirs, effectively explore the decision-making methods for water bloom control in lakes and reservoirs that are applica...

AI Technical Summary

Problems solved by technology

[0004] Since algal bloom outbreak is a complex ecological problem, the decision-making process for algal bloom outbreak involves water quality factors, economic factors, environmental factors and other factors. Attributes analyze the advantages and disadvantages of optional biological treatment methods, physical treatment methods, chemical treatment methods and other specific treatment methods, and cannot reasonably deal with the fuzzy and random problems that arise in the decision-making process, resulting in deviations in decision-making results larger

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