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A new fuzzy multiple attributive group decision making methodology and its application to propulsion/manoeuvring system selection problem

机译:一种新的模糊多属性群决策方法及其在推进/操纵系统选择问题中的应用

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摘要

In this paper, a new fuzzy multiple attribute decision-making (FMADM) method, which is suitable for multiple attributive group decision making (GDM) problems in fuzzy environment, is proposed to deal with the problem of ranking and selection of alternatives. Since the subjectivity, imprecision and vagueness in the estimates of a performance rating enter into multiple attribute decision-making (MADM) problems, fuzzy set theory provides a mathematical framework for modelling vagueness and imprecision. In the proposed approach, an attribute based aggregation technique for heterogeneous group of experts is employed and used for dealing with fuzzy opinion aggregation for the subjective attributes of the decision problem. The propulsion/manoeuvring system selection as a real case study is used to demonstrate the versatility and potential of the proposed method for solving fuzzy multiple attributive group decision-making problems. The proposed method is a generalised model, which can be applied to great variety of practical problems encountered in the naval architecture from propulsion/manoeuvring system selection to warship requirements definition. (c) 2004 Elsevier B.V. All rights reserved.
机译:提出了一种适用于模糊环境下的多属性群决策(GDM)问题的模糊多属性决策(FMADM)新方法,以解决方案的排序和选择问题。由于绩效评估中的主观性,不精确性和模糊性会进入多属性决策(MADM)问题,因此模糊集理论为建模模糊性和不精确性提供了数学框架。在提出的方法中,采用了基于属性的异类专家组聚合技术,该技术用于处理决策问题的主观属性的模糊意见聚合。以推进/机动系统选择为例,验证了所提出方法解决多属性多属性决策问题的多功能性和潜力。所提出的方法是一种通用模型,可以应用于从推进/操纵系统选择到军舰需求定义的海军体系中遇到的各种实际问题。 (c)2004 Elsevier B.V.保留所有权利。

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