本文選題：猶豫模糊語言　切入點(diǎn)：距離　出處：《廣西大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：決策環(huán)境的多樣性以及決策者不同的思考方式、知識背景等使得決策問題具有一定的模糊性.在處理具體的決策問題,當(dāng)語言評價猶豫于多個語言術(shù)語時,選擇猶豫模糊語言術(shù)語集進(jìn)行評價具有更強(qiáng)的柔性.因此,近年來,眾多的學(xué)者對猶豫模糊語言術(shù)語集的理論及應(yīng)用的研究產(chǎn)生了濃厚的興趣.本文主要對猶豫模糊語言術(shù)語集的排序方法和距離測度存在的局限性進(jìn)行了分析并作了進(jìn)一步研究,給出了相應(yīng)的多屬性群決策方法.具體研究內(nèi)容如下:(1)首先對猶豫模糊語言術(shù)語集的排序方法的局限性進(jìn)行分析,在考慮猶豫模糊語言術(shù)語集中語言術(shù)語下標(biāo)的均值和個數(shù)的基礎(chǔ)上,定義了猶豫模糊語言術(shù)語集的模糊度和一種新的排序方法;然后,提出了集結(jié)算子對猶豫模糊語言信息進(jìn)行集成,同時研究了這些算子的性質(zhì);最后,給出基于猶豫模糊語言集結(jié)算子的多屬性群決策方法并將其應(yīng)用到風(fēng)險投資中.(2)分析了猶豫模糊語言術(shù)語集之間的距離存在的局限性,拓展了模糊度;結(jié)合模糊度提出了新的距離測度,它能克服原距離測度中存在的不足.分別討論了猶豫模糊語言術(shù)語集離散型、連續(xù)型、偏好型和加權(quán)型距離測度.基于新距離提出了集結(jié)猶豫模糊語言信息的TOPSIS 方法。
[Abstract]:The diversity of decision environment, the different way of thinking of decision makers, the knowledge background and so on make the decision problems fuzzy. When dealing with specific decision problems, when language evaluation hesitates in many language terms, It is more flexible to choose the hesitant fuzzy glossary of terms for evaluation. Therefore, in recent years, Many scholars have been interested in the theory and application of hesitant fuzzy terminology set. In this paper, the limitations of sorting method and distance measure of hesitant fuzzy language terminology set are analyzed and further studied. In this paper, the corresponding multi-attribute group decision making method is given. The specific research contents are as follows: (1) firstly, the limitation of the ranking method of the hesitant fuzzy language terminology set is analyzed. On the basis of considering the mean value and the number of linguistic terms subscript in the hesitant fuzzy language terminology set, the ambiguity degree and a new sort method of the hesitant fuzzy language terminology set are defined. In this paper, aggregation operators are proposed to integrate hesitant fuzzy language information, and the properties of these operators are studied. This paper presents a multi-attribute group decision making method based on hesitant fuzzy language aggregation operator and applies it to venture capital. It analyzes the limitation of the distance between hesitant fuzzy language terminology sets and extends the ambiguity degree. This paper proposes a new distance measure combined with ambiguity, which can overcome the shortcomings of the original distance measure. Based on the new distance, a new TOPSIS method is proposed to aggregate the information of hesitant fuzzy language.
【學(xué)位授予單位】：廣西大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：O225

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本文編號：1594558