Th Analysis of Fuzzy Methods in Locate the Optimal Development of Cities (Case Study: Doroud City)
Subject Areas :
Regional Planning
A.A Anabestani
1
,
اسماعیل Soleymanirad
2
,
سیدرضا Hosseini Kahnooj
3
1 - استاد جغرافیا و برنامهریزی روستایی، دانشگاه فردوسی مشهد، مشهد، ایران
2 - دانشجوی دکترای جغرافیا و برنامهریزی شهری، دانشگاه تبریز، تبریز، ایران
3 - دانشجوی دکترای جغرافیا و برنامهریزی روستایی، دانشگاه فردوسی مشهد، ایران
Received: 2016-12-28
Accepted : 2017-12-24
Published : 2017-12-22
Keywords:
Positioning,
Development of optimal physical,
FAHP,
FUZZY GAMMA,
Abstract :
The emergence of a city, more than anything else geographical conditions function is so that every size city developed, they deal with various unit’s topography and geomorphology and matters related to them is more. The impact of the changes that anatomical deformation and developing its shows space cities. Objective of the study comparing quantitative methods, math and examine how their performance in the process of finding the optimal development of a place in the Doroud city. For this purpose, methods of fuzzy logic and analytic hierarchy process fuzzy examined and compared to their according to the sources and available data from 10 indicators of land, the shape of the earth, highways, railways, the main and sub - rift, permanent rivers, mines, land, oil and gas lines, as well as the map of the city and surrounding villages in the form of software GIS arc environment has benefited. The results showed that with regard to field surveys taken model is based on fuzzy approach, the best path of development in the southeast and shows the land route to the development of appropriate almost to agriculture. End route to the south of the city and the quality of the other side is limited. gamma model is the best way to linear shape and development along the lines of transportation, shows (road connected to the city north west), and the results this issue is shown of the fuzzy gamma operator very accurate and in greater detail with regard to a situation selected variables in the areas of study.
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