【摘要】：在現(xiàn)實(shí)生活中,由于決策問題本身的復(fù)雜性、決策者認(rèn)知結(jié)構(gòu)的有限性、現(xiàn)實(shí)問題的模糊性、決策信息表現(xiàn)形式的多樣性、決策者自身的“非理性”以及決策者獲取所有決策信息的局限性,亟待對決策理論進(jìn)行完善和發(fā)展。當(dāng)前的多屬性決策方法限定決策者是“完全理性狀態(tài)的人”,較少考慮人的心理行為特征對決策結(jié)果變化的影響。因此,本文基于猶豫模糊語言性質(zhì)的前提下,系統(tǒng)地研究決策者的心理行為的多屬性決策,本文從以下四個方面展開深入研究:首先,從猶豫模糊語言數(shù)的距離測度和運(yùn)算規(guī)則兩個角度對猶豫模糊語言數(shù)性質(zhì)進(jìn)行探究�；趥鹘y(tǒng)距離測度,引入猶豫度來挖掘猶豫模糊數(shù)的猶豫程度,體現(xiàn)猶豫模糊語言數(shù)獨(dú)特的距離測度優(yōu)勢;針對猶豫模糊語言數(shù)的特點(diǎn),通過改進(jìn)猶豫模糊語言數(shù)的運(yùn)算規(guī)則,解決猶豫模糊語言數(shù)運(yùn)算存在邊界的問題。并在猶豫模糊數(shù)的性質(zhì)研究基礎(chǔ)上,提出了猶豫模糊語言離差最大化屬性權(quán)重確定方法。其次,基于決策者考慮損失規(guī)避的心理行為特征,提出基于前景理論的猶豫模糊語言數(shù)多屬性決策方法,證明了前景理論的概率權(quán)重函數(shù)和猶豫模糊語言數(shù)相結(jié)合具有一定的內(nèi)在機(jī)理和重要意義,同時也說明前景函數(shù)引入猶豫模糊語言數(shù)作為屬性的描述決策信息具備合理性。再次,基于決策者考慮后悔規(guī)避的心理行為特征,提出基于后悔理論的猶豫模糊語言數(shù)多屬性決策方法,將后悔理論的演繹邏輯和猶豫模糊語言數(shù)相結(jié)合,本文將運(yùn)用猶豫模糊語言數(shù)表征屬性值,表現(xiàn)決策者在決策時后悔規(guī)避和猶豫心理。最后,通過對電影評分方法這一案例進(jìn)行研究,為研究問題提供更為真實(shí)的背景,同時可以佐證運(yùn)用前景理論的猶豫模糊語言多屬性決策方法與后悔理論的猶豫模糊語言多屬性決策方法的進(jìn)行研究具有合理性和可行性,同時也為優(yōu)化電影的評分體系提供一定的理論借鑒意義和現(xiàn)實(shí)探索意義。
[Abstract]:In real life, due to the complexity of decision making problems, the limited cognitive structure of decision makers, the fuzziness of realistic problems, the diversity of decision information, It is urgent to perfect and develop the decision theory because of the irrationality of the decision maker and the limitation of the decision maker to obtain all the decision information. The current multi-attribute decision making method limits the decision maker to be a "completely rational person", and less considers the influence of the psychological and behavioral characteristics of the person on the change of the decision result. Therefore, based on the nature of hesitant fuzzy language, this paper systematically studies the multi-attribute decision making of decision makers' psychological behavior. This paper carries out in-depth research from the following four aspects: first, In this paper, the properties of hesitant fuzzy language numbers are studied from the distance measure and operation rules of the number of hesitating fuzzy languages. Based on the traditional distance measure, the hesitancy degree is introduced to excavate the hesitation degree of the hesitant fuzzy number, which embodies the advantage of the unique distance measure of the hesitant fuzzy language number. According to the characteristics of hesitant fuzzy language number, the problem of the boundary of hesitating fuzzy language number operation is solved by improving the operation rules of hesitating fuzzy language number. On the basis of the study of the properties of hesitating fuzzy numbers, a method for determining the attribute weights of maximum deviation of hesitating fuzzy language is proposed. Secondly, based on the psychological behavior characteristics of loss aversion, a multi-attribute decision making method based on the foreground theory is proposed. It is proved that the combination of probabilistic weight function and fuzzy language number in foreground theory has certain intrinsic mechanism and important meaning, and it is also reasonable that the foreground function introduces hesitant fuzzy language number as attribute to describe decision information. Thirdly, based on the psychological behavior characteristics of regret avoidance, a multi-attribute decision making method based on regret theory is proposed, which combines the deductive logic of regret theory with the fuzzy number of hesitation language. In this paper, the attribute value is represented by the number of hesitant fuzzy language, and the decision maker's regret and hesitation in decision-making are represented. Finally, through the case study of the film scoring method, it provides a more realistic background for the research. At the same time, it can be proved that it is reasonable and feasible to study the methods of multi-attribute decision-making of hesitation fuzzy language based on foreground theory and regret theory. At the same time, it also provides some theoretical reference and practical significance for optimizing the film scoring system.
【學(xué)位授予單位】：江南大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：O225

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