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Research On Several Multiple Attribute Decision Making Methods Based On Uncertain Information

Posted on:2017-11-09Degree:MasterType:Thesis
Country:ChinaCandidate:Y Q GuFull Text:PDF
GTID:2349330488477821Subject:Statistics
Abstract/Summary:PDF Full Text Request
Uncertain information of multiple attribute decision making method is based on the classical theory of multiple attribute decision making of development and extension, as an important branch of modern scientific decision-making theory, the theoretical method is widely applied. Such as evaluation, military personnel assessment, project management, scientific research evaluation, enterprise benefit evaluation and selection of partners in many practical problems, due to the knowledge of the system, the degree of personal preference, the working environment and specialist areas such as the influence of some subjective factors, combined with the complexity and fuzziness of the existence of thing itself, so experts often prefer to express decision information with uncertain information. About the uncertain information of multiple attribute decision making method research has aroused great interest and broad attention of scholars both at home and abroad. So the uncertain information of multiple attribute decision making theory and application has important theoretical significance and high practical value, in this paper in the multiple attribute decision making problems with uncertain information, a series of exploration, the main research results are as follows:1?The study of language information of multiple attribute decision making method. In the process of multi-attribute decision making problems with linguistic information, in order to make the experts give the evaluation results more convenient more reliable, the evaluation results will be in the form of language phrases.Probability are given for the language, the dominant correlation coefficient and interval preference information of multiple attribute decision making problem is studied, using the level's dominant correlation coefficient calculation method of comprehensive advantage related index vector, and then sort of scheme comparison,select the optimal scheme, as far as possible eliminate policymakers as well as the external environment factors affecting the injustice.2?Interval value hesitation multiple attribute decision making method of fuzzylanguage research. Interval value hesitant fuzzy language hesitated interval-valued fuzzy sets and sets the development and extension, in the traditional hesitant fuzzy language problem of decision making, usually constructed based on optimal order relation hesitate a multicriteria decision making method of fuzzy language, this paper based on this, puts forward a method based on interval value hesitation multiple attribute decision making method of fuzzy language. First through the optimal order relation hesitant fuzzy language to program to filter, and then combined with the reliability theory, the solution to sort again, considering both the knowledge system of incomplete attribute decision making a lot of difficult to quantitative problems and considering the field of experts on the evaluation results, the influence of the sort results more accurate.3?Vector similarity of interval-valued hesitant fuzzy sorting method. Because of the complexity of the objective world and vagueness of the environment, the attribute value by digital already can't meet the demand of the actual decision making problems, in this paper, from a new perspective to study the problems about information transformation, and the interval value hesitation the score functions of yuan and hesitate to put forward a new vector similarity sorting method.4? Interval value fuzzy PROMETHEE. Interval value RMB hesitant fuzzy sorting is always the core content in multiple attribute decision making, based on uniform distribution of probability criterion is given may order formula of interval value hesitation fuzzy yuan, and on this basis, combining the theory of PROMETHEE, presents a new sorting method, the feasibility and rationality of the method is verified by examples.
Keywords/Search Tags:Uncertain multiple attribute decision making information, Interval value hesitant fuzzy language, Dominant correlation coefficient, Credibility, Vector similarity
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