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A Group Decision Making for Coastal Wetland Park Selection Approach Using Topsisand Interval-Valued Fuzzy Numbers

机译:基于Topsis和区间值模糊数的海岸湿地公园选择方法的群决策

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摘要

Due to the increasing awareness of environmental and social issues, sustainable coastalwetland park selection becomes an important problem. The aim of this paper is to develop anew performance evaluation method for multi-attribute decision making (MADM) problems in agroup decision environment, based on combining an integrated group Techniques for OrderPreferences by Similarity to Ideal Solution (IG-TOPSIS) and interval-valued fuzzy numbers.Coastal wetland park selection often involves uncertain information due to the subjective natureof human judgments. Because human beings are more suitable using linguistic terms ratherthan crisp values or precise numbers to express what they perceive, the rating values can beexpressed in linguistic terms. These linguistic terms, however, are often imprecise or vague. Theinterval-valued fuzzy sets can provide more flexibility than ordinary fuzzy sets in representingvague or uncertain information. This paper presents an interval-valued fuzzy IG-TOPSISmethod, which aims to solve MADM problems in which the preferences of different decisionmakers are considered and expressed clearly using the concepts of interval-valued fuzzy sets. Acase study for evaluating the performances of several sites for coastal wetland park selection isconducted to illustrate the effectiveness of this method.
机译:由于对环境和社会问题的认识不断提高,可持续的沿海湿地公园选择成为一个重要问题。本文的目的是基于组合的基于理想解的相似性(IG-TOPSIS)的订单偏好技术和区间值,为群体决策环境中的多属性决策(MADM)问题开发一种新的绩效评估方法由于人类判断的主观性质,沿海湿地公园的选择通常涉及不确定的信息。因为人类更适合使用语言术语,而不是用明晰的值或精确数字来表达他们的感知,所以可以使用语言术语来表达等级值。但是,这些语言术语通常不精确或含糊。在表示模糊或不确定信息方面,区间值模糊集可以提供比普通模糊集更大的灵活性。本文提出了一种区间值模糊IG-TOPSIS方法,旨在解决MADM问题,其中考虑了不同决策者的偏好,并使用区间值模糊集的概念清楚地表达了这种决策。进行了一个评估几个海岸湿地公园选址性能的案例研究,以说明该方法的有效性。

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