Combining Fuzzy AHP with GIS and Decision Rules for Industrial Site Selection
| Autor: | Baghdad Atmani, Aissa Taibi |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Multi-Criteria Decision Analysis
Statistics and Probability Geographic information system Computer Networks and Communications Computer science Fuzzy set Analytic hierarchy process 02 engineering and technology 010501 environmental sciences computer.software_genre lcsh:Technology 01 natural sciences Industrial Site Selection Reduction (complexity) Artificial Intelligence fuzzy analytic hierarchy process 0202 electrical engineering electronic engineering information engineering Decision Rules industrial site selection Fuzzy Analytic Hierarchy Process 0105 earth and related environmental sciences decision rules lcsh:T business.industry Rank (computer programming) IJIMAI Decision rule Decision problem multi-criteria decision analysis Computer Science Applications Ranking Signal Processing 020201 artificial intelligence & image processing Computer Vision and Pattern Recognition Data mining business computer |
| Zdroj: | Re-Unir. Archivo Institucional de la Universidad Internacional de La Rioja instname International Journal of Interactive Multimedia and Artificial Intelligence, Vol 4, Iss 6, Pp 60-69 (2017) |
| Popis: | This study combines Fuzzy Analytic Hierarchy Process (FAHP), Geographic Information System (GIS) and Decision rules to provide decision makers with a ranking model for industrial sites in Algeria. A ranking of the suitable industrial areas is a crucial multi-criteria decision problem based on socio-economical and technical criteria as on environmental considerations. Fuzzy AHP is used for assessment of the candidate industrial sites by combining fuzzy set theory and analytic hierarchy process (AHP). The decision rule base serves as a filter that performs criteria pre-treatment involving a reduction of their numbers. GIS is used to overlay, generate criteria maps and for visualizing ranked zones on the map. The rank of a zone so obtained is an index that guides decision-makers to the best utilization of the zone in future. |
| Databáze: | OpenAIRE |
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