Kosenko O. Modeling of production inventories management system on the basis of fuzzy sets

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0411U005333

Applicant for

Specialization

  • 08.00.11 - Математичні методи, моделі та інформаційні технології в економіці

29-06-2011

Specialized Academic Board

Д 11.051.01

Essay

Object of research: management processes by the productive supplies of enterprise in the conditions of vagueness. Purpose of research: modeling of control system by productive supplies in the conditions of vagueness and verbal formalization, that provides the increase of efficiency of activity of enterprise. Methods of research: management theory by supplies; modified principle of generalization; methods of unclear conclusion; hypernetic great numbers. Results: essence of management process is certain by productive supplies taking into account the unclearness of information; existent methods and going are investigational near a management by productive supplies; defects are certain in the decision of management problem by productive supplies, to the information related to the unclearness; conception of design of control system is worked out by the productive supplies of enterprise on the basis of fuzzy sets; the parameters of model of unclear conclusion formalizing in control system by productive supplies; the model of optimization the unclearly set problem of management is built by productive supplies on the basis of the modified principle of generalization; the method of formulation of composition unclear logical inference of modus ponens rule is improved, that allows to plug the parameters of linguistic vagueness in a model; the positive results of introduction of developments of dissertation work are got on an enterprise; the analysis of adequacy and efficiency of the got results is carried out on the real productive object. Novelty: it is first worked out: conception of design of control system by the productive supplies of enterprise on the basis of fuzzy sets; got further development: method of formalization of unclear indexes at any level of unclearness; method of the use of the modified principle of generalization in the conditions of operation hypernetic great numbers; improved: method of forming of composition unclear logical inference rule on the basis of the system of linguistic, high-quality formulated indexes. Field of the use: level of enterprises.

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