Fuzzy sets, decision making and expert systems
Fuzzy sets, decision making and expert systems
Fuzzy outranking for environmental assessment: Case study: iron and steel making industry
Fuzzy Sets and Systems - Special issue on soft decision analysis
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Expert Systems with Applications: An International Journal
Design a new mixed expert decision aiding system using fuzzy ELECTRE III method for vendor selection
Expert Systems with Applications: An International Journal
Fuzzy UTASTAR: A method for discovering utility functions from fuzzy data
Expert Systems with Applications: An International Journal
Calibrated fuzzy AHP for current bank account selection
Expert Systems with Applications: An International Journal
Environmental impact assessment based on D numbers
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Hi-index | 12.06 |
Environmental impact assessment (EIA) is the assessment of the possible impact that a proposed plan or project may have on the environment, together consisting of the natural, social and economic aspects. The aim of this paper is to propose an environmental impact assessment methodology based on an integrated fuzzy AHP-ELECTRE approach in the context of urban industrial planning. In the proposed methodology the criteria weights are generated by a fuzzy AHP procedure. The fuzzy set theory is a perfect means for modeling uncertainty or imprecision arising from human mental phenomena. The usage of fuzzy sets in describing uncertainties and vagueness in different environmental factors simplifies the complex structure of EIA. A fuzzy outranking methodology, fuzzy ELECTRE is used to assess the environmental impact generated by the six different industrial districts which were predicted to shape the future industrial structure of Istanbul metropolitan area. Finally, a fuzzy dominance relation (FDR) methodology is used to rank the alternatives from the most risky to the least. A sensitivity analysis is also provided.