International Refereed Journal of Engineering and Science (IRJES) ISSN (Online) 2319-183X, (Print) 2319-1821 Volume 6, Issue 3 (March 2017), PP.72-79 www.irjes.com 72 | Page Combination of Geographic Information System, Fuzzy Set Theory And Analytic Hierarchy Process For Rationality Assessment Of Planned Industrial Zones: A Case Study In Vietnam Xuan Linh Nguyen 1 , Tien Yin Chou 2 , Yao Min Fang 2 , Feng Cheng Lin 2 , Thanh Van Hoang 2 , Yi Min Huang 2 1 Ph.D. Program In Civil And Hydraulic Engineering, College Of Construction And Development, Feng Chia University, Taiwan 2 Gis Research Center, Feng Chia University, 100 Wenhwa Rd, Situn Taichung, Taiwan R.O.C ABSTRACT :- In Hung Ha district, planning new industrial zones along with enlarging the existing ones are the key policies of the authorities. Locations, however, of the planned industrial zones are facing protests of surrounding residential areas because of environmental impacts. The purpose of this research is to assist Hung Ha government in assessing the suitability of planned locations of industrial zones by utilizing the combinations of Geographic Information System (GIS) technology, Analytic Hierarchy Process (AHP) technique and Fuzzy set theory. Firstly, opinions were surveyed from people residing near planned locations for determining which problems were complained mostly, and subsequently consulted suggestions from the authorities to form affected factors table. Secondly, AHP was applied for calculating weights of criteria and factors, and Fuzzy set theory was employed for obtaining continuous score of relevant degree from 0 to 1. GIS technology was applied throughout the paper from standardizing input spatial data to overlapping layers. The assessment results revealed that all 18 planned industrial zones in the researched district were not rational because of close to residential areas or water sources. Keywords :- AHP, Fuzzy set theory, GIS, Land use planning, Rationality assessment I. INTRODUCTION In Vietnam, the government at district level has responsibility for sustainable land use and land management. Currently, in order to implement such task, it might be said that land use planning is one of the best tool. Hung Ha government, nevertheless, is facing the problem about the disagreements over the planned locations for industrial zones from surrounding residential areas. Hence, it is urgent to conduct rationality assessment regarding spatial location for those planning objects. In general, the suitability evaluation process is really complicated due to the participation of many affecting factors in conjunction with complexities in handling geospatial data. GIS is the best approach to geospatial data management and spatial analysis issues because this is a computer-based system (Norstrøm, 2001, Bhatt et al., 2007, Wang, 2009) allowing planners to collect, analyze and manage data in efficient way. Successful applications of GIS for land suitability assessment can be found in the papers (Muttiah et al., 1996, Aydin et al., 2013, Khahro et al. 2014, Kumar and Bansal, 2016). Particular researches concentrating on assessing land suitability levels for industrial locations use GIS technology (Chen and Delaney, 1998, Eldrandaly et al., 2003). In fact, the industrial zones, among other planning objects have been received many interests from researchers due to its impacts on environment, as well as life of citizen. Some studies have combined GIS technology with method of multiple criteria analysis (Ruiz et al., 2012, Sahnoun et al., 2012, Rikalovic et al., 2014) for improving the precision of results. Analytic Hierarchy Process (AHP) is a widespread technique (Bunruamkaew and Murayam, 2011) for overcoming multi-criteria-based decision-making issue. This approach which allows group of planners based on their knowledge and experience to separate a problem into hierarchy, was firstly introduced by Saaty (Saaty T.L., 1980), and normally utilized to obtain weights of factors from pairwise comparison between them. Another common approach employed in solving spatial location assessment is Fuzzy set theory that normally combined with multi-criteria analyses method for dealing with measuring uncertainty based on membership functions (Kuo et al., 2013, Arabsheibani et al., 2016).