Based On AHP, Fuzzy Mathematics And ANN Gasturbo-charged Mining Plan Optimal Model Study

Multi-attribute decision-making is becoming prevalent in the fields of economy, management, society and other fields. Such as in program optimization, manufactory location, distribution of resources, investment decisions, project evaluation, quality estimate, scientific research appraisal, talented inspection, development level arrangement of industrial departments, integrative appraisement of economy benefits, and so on. Obviously, multi-attribute decision-making theory and method has a cheerful application prospect. And it contains academic importance and practical significance that the systemic research in multi-attribute decision-making theory, method and application.Fuzzy optimization method based on fuzzy theory is an optimal method used to involve fuzzy factors in decision-making. Therefore it can be used to preferably solve the optimization problem of the fuzziness question. Artificial Neural Networks(ANN) is of great robustness, fault-tolerant, self-learning, self-organization and self-adaptability, and behaves itself with superiority in modeling demonstrated of decision-making system. Consequently, ANN also is used for solution in optimization of the target plan for decision-making.This article studies how to optimize the exploitation plan of turbo-charged mining LUODAI JP with introduction of Fuzzy optimization methods and artificial neural networks. This based on the analysis of multi-attribute problems' features and method research status quo in target system for decision-making, and on the AHP, fuzzy theory and theory of artificial neural networks. The main tasks are as follows: (1) Create fuzzy optimization model by theory of fuzzy, and study several key problems in model creation. (2) Use fuzzy optimization model to optimal arrange turbo-charged mining plan. ReO simulation software is used to simulate the different plans, to formulate nine mining ones, and to create index sets of them. Then the preferred outcome will be figured out by means of fuzzy optimization model and weight of various indexes fixed by AHP.(3) Propose optimization model and algorithm steps on the basis of ANN. And create optimization model on BP networks by MATLAB neural network toolbox. (4) Suggest the design conception which evaluates the mining plan comprehensive utilizing fuzzy optimization method and ANN. Moreover, discuss how to combine both and implement. After creating optimization model by turbo-charged mining on the fuzzy theory and ANN, use the model to accomplish the plan optimization. Then prove the method is feasible, which combines fuzzy optimization method and ANN.