Adoption of Fuzzy Logic to assess the Environmental Quality of Urban Development. | ||||
| MEJ- Mansoura Engineering Journal | ||||
| Article 17, Volume 41, Issue 2, June 2016, Page 9-14 PDF (798.27 K) | ||||
| Document Type: Research Studies | ||||
| DOI: 10.21608/bfemu.2020.98976 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Ahmed Thabet Alieldin  1; Sherief Ahmed Ali Sheta 2; Ibrahim Rizq Hegazy2
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| 1Assistant Professpr at Architectural Engineering Department , Delta Higher Institute for Engineering &Technology | ||||
| 2Associate Professor of Architecture, Faculty of Engineering, Mansoura University | ||||
| Abstract | ||||
| In recent years, the rapid advances of computer applications used in urban design and planning have largely changed the essence and soul of urban designs and drawings. Therefore, many challenges exist to delay the efficiency and accuracy of assessing urban design and development plans. Furthermore, the process of assessment of urban design and planning becomes full of overlapping and intertwined stories that have made continuous changes, complexities, and uncertainties for its results and decisions. Urban development has been considered to be complex because it consists of different physical, social and technical elements and confronts continuous evaluation and decision making processes. All of urban development factors contain ambiguity, impreciseness, and uncertainty in their data, while fuzzy logic has been proved to shed a new light on the management and assessment of these factors. The purpose of this research is to develop an expert system based on fuzzy logic to assess the Environmental Quality of Mansoura Waterfront, one of the most important areas in the city because of its included mixed uses and its adjacency to Mansoura University. The researchers intend to manage the uncertainties associated with decision-making processes through employing fuzzy logic in obtaining precisely enumerated, quantified and computerized assessment results for this area | ||||
| Keywords | ||||
| Urban Development Plans; Fuzzy based Assessment and Environmental Quality | ||||
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