基于立方犹豫模糊集相关系数的多属性决策方法
发布时间:2023-03-14 19:05
立方犹豫模糊集是一种定义复杂信息的多属性决策方法,它可以同时包含不确定和犹豫的模糊信息。但到目前为止立方犹豫模糊集的相关系数在决策问题中的应用还尚未研究。本研究提出了立方犹豫模糊集的两种相关系数,并研究了它们的性质。同时,在立方犹豫模糊环境下,提出了基于立方犹豫模糊集加权相关系数的多属性决策方法。该方法确定了理想方案和每个可能方案之间的相关系数,并利用获得的相关系数排序来寻找最佳方案。在建筑业中,环境影响评价是一个非常重要的问题,很可能会出现不确定性。为此,以某工程环境影响评价问题为例,说明了所提出的决策方法的有效性和可行性,及其决策过程简便的优点。
【文章页数】:63 页
【学位级别】:硕士
【文章目录】:
摘要
ABSTRACT
ACRONYM
CHAPTER ONE Introduction
1.1 Background
1.2 Cubic Hesitant Fuzzy Sets and Correlation Coefficient
1.3 Environmental Impact Assessment(EIA)
1.4 Multiple Attribute Decision Method(MADM)in Construction Management
1.5 Basic Essences of the Research
1.5.1 Statement of the Problem
1.5.2 Objective of the Research
1.5.3 Significance of the study
1.5.4 Scope of the study
1.6 Research methodology
CHAPTER TWO Basic concept on Cubic Hesitant Fuzzy Sets and Correlation Coefficient
2.1 Cubic Hesitant Fuzzy sets(CHFS)
2.2 Correlation Coefficient of IFSs,IVIFs and HFSs
CHAPTER THREE Correlation Coefficient of Cubic Hesitant Fuzzy Sets
3.1 Proposed Correlation Coefficient of CHFSs
3.2 Weighted Correlation Coefficient of Cubic Hesitant Fuzzy Sets
CHAPTER FOUR Multiple Attribute Decision-Making Method using the Correlation Coefficients of CHFSs
4.1 The applied MADM method
4.2 Determining the ideal point and weight of attributes
CHAPTER FIVE Application of the Proposed Methodology in Environmental Impact Assessment
5.1 Background
5.2 Choosing EIA reports(Example1)
5.3 Ranking of impacts(Example2 case1)
5.4 Choosing environmental/remedial technology(Example 2 Case 2)
5.5 Comparison
CHAPTER SIX Conclusion
References
Acknowledgement
本文编号:3762572
【文章页数】:63 页
【学位级别】:硕士
【文章目录】:
摘要
ABSTRACT
ACRONYM
CHAPTER ONE Introduction
1.1 Background
1.2 Cubic Hesitant Fuzzy Sets and Correlation Coefficient
1.3 Environmental Impact Assessment(EIA)
1.4 Multiple Attribute Decision Method(MADM)in Construction Management
1.5 Basic Essences of the Research
1.5.1 Statement of the Problem
1.5.2 Objective of the Research
1.5.3 Significance of the study
1.5.4 Scope of the study
1.6 Research methodology
CHAPTER TWO Basic concept on Cubic Hesitant Fuzzy Sets and Correlation Coefficient
2.1 Cubic Hesitant Fuzzy sets(CHFS)
2.2 Correlation Coefficient of IFSs,IVIFs and HFSs
CHAPTER THREE Correlation Coefficient of Cubic Hesitant Fuzzy Sets
3.1 Proposed Correlation Coefficient of CHFSs
3.2 Weighted Correlation Coefficient of Cubic Hesitant Fuzzy Sets
CHAPTER FOUR Multiple Attribute Decision-Making Method using the Correlation Coefficients of CHFSs
4.1 The applied MADM method
4.2 Determining the ideal point and weight of attributes
CHAPTER FIVE Application of the Proposed Methodology in Environmental Impact Assessment
5.1 Background
5.2 Choosing EIA reports(Example1)
5.3 Ranking of impacts(Example2 case1)
5.4 Choosing environmental/remedial technology(Example 2 Case 2)
5.5 Comparison
CHAPTER SIX Conclusion
References
Acknowledgement
本文编号:3762572
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