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Fuzzy comprehensive evaluation of urban regeneration decision-making based on entropy weight method: Case study of yuzhong peninsula, China
Author(s) -
Tao Zhou,
Yulin Zhou
Publication year - 2015
Publication title -
journal of intelligent and fuzzy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.331
H-Index - 57
eISSN - 1875-8967
pISSN - 1064-1246
DOI - 10.3233/ifs-151969
Subject(s) - peninsula , fuzzy logic , china , entropy (arrow of time) , shandong peninsula , computer science , data mining , geography , artificial intelligence , physical geography , physics , archaeology , thermodynamics
Urban regeneration decision-making is a complicated system, which requires that stakeholder interests balance in aspects of the economy, society and environment. It is necessary to identify the key factors affecting urban regeneration and then construct an urban regeneration decision-making evaluation system to provide a basis for objective and comprehensive judgment for urban regeneration decision-making. Through constructing a fuzzy comprehensive evaluation model based on the entropy weight method, this paper attempts to provide a scientific evaluation method for the suitability of urban regeneration. An urban regeneration scheduling method by sorting the appropriate degree of the update of different areas in the large region, is proposed to achieve urban regeneration implementation in the sequence of time and space optimization.

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