Bibliometric Analysis for Site Selection Problems Using Geographic Information Systems, Multi-Criteria Decision Analysis and Fuzzy Method (original) (raw)
Related papers
Multi-Criteria Decision Aid Approach With GIS Technologies For The Site Selection Problem
Geographic Information Systems (G.I.S.) has long been used for decision support, mainly utilizing their map design, comparison and analysis of spatial data capabilities. Also, effort had been done toward integrating GIS and Multi-criteria Decision Aid (MCDA) methodological approach (Jankowski,1995). Their main issue was to improve the decision-making procedure through IT tools, data analysis techniques and models, so as to provide a user-friendly information processing system. In this research, MCDA methods have been integrated with GIS in order to support Decision Makers to the generalized site selection problem. The main target of this project is to apply a methodology to the site selection problem using MCDA approach based on the principles of the additive utility function. In order to assess the additive utility function, the UTA (Utility Additive) method of the disaggregation-aggregation approach is used. This method supports the Decision Maker to take a decision through iterative interactive procedures. Utilizing UTA method a multicriteria additive utility preference model is assessed so as to be as consistent as possible to Decision Maker's preferences. Finally, a ranking of the alternative sites and activities is provided, expressing the suitability of every site and activity regarding the selection criteria. A prototype system is presented, which is also an outcome of this research work and its utilization for a case study concerning the site selection for agricultural activities. This web system is based on ArcView GIS tool and MIIDAS (Siskos et al, 1999) Multi-criteria Decision Aid system. Finally, this research work is focused on the identification analysis of the challenges faced on using these two methodological and technological frames for the generalized site selection problem.
Information analysis and dissemination for site selection decisions using a fuzzy algorithm in GIS
Site selection for large-scale facilities is often a group multi-criteria decision-making problem under uncertainty. Creating a practical, user friendly, interactive environment for knowledge sharing among decision-makers and stakeholders can contribute significantly to the process by making the optimal solution easier to find, and enabling dissemination of information to affected groups. Existing algorithms for site selection have little or no capability for handling a non-consensus group environment, or to factor quantitative uncertainty into an analysis. This paper presents a new fuzzy algorithm that is practical to implement in raster GIS and suitable for multiple decision-maker site-selection problems under uncertainty. Differing linguistic assessments from decision-makers are combined using a relevance matrix, and quantitative uncertainty is modelled using a method based on type-2 fuzzy sets. Outputs from the algorithm have a high information value as they include measures for...
A new fuzzy multicriteria evaluation method for group site selection in GIS
Journal of Multi-Criteria Decision Analysis, 2003
Multiple criteria group site selection problems involve a group of individuals evaluating a set of alternative sites on the basis of multiple criteria. This paper presents an application of a new fuzzy algorithm for finding and exploring potential solutions to these problems in a raster Geographical Information System (GIS) environment. Linguistic assessments from decision-makers are represented as triangular fuzzy numbers (TFN's), which are adjusted for uncertainty in the source data and its relationship to suitability by using an approach based on type-2 fuzzy sets. The first aggregation of inputs is a compensatory one based on fuzzy multi-attribute decision-making (MADM) theory. An adjusted aggregation then factors in conflicts, risks and uncertainties to enable a variety of compensatory and non-compensatory outcomes to be generated based on decision-maker preferences. The algorithm was implemented in ArcView GIS as part of an ongoing collaborative project with Brisbane Airport. This paper outlines the fuzzy algorithm and its use in site selection for a recycling facility on the Brisbane Airport site.
2012
Suitable site analysis is a key factor in urban planning and a wide range of decision making and management situation. One of the issues that has recently been taken into consideration is site selection for installing industries to prevent from probable environmental crises and also to appropriately utilize all resources. In recent years, the integration of multi criteria decision analysis (MCDA) techniques with geographic information system (GIS) has considerably advanced the map overlay approaches to site suitability analysis. The main objective of this paper is to incorporate the concept of fuzzy set theory into the GIS-based MCDA. MCDA is utilized for assigning weights of the criteria for site selection and fuzzy is used to determine the most suitable alternative using these criteria weights. In this paper, first effective criteria were recognized for site selection of industrial areas such as slop, landuse, agriculture, fault, soil type and etc, then they were prepared in the f...
—In order to obtain national and international high-speed transport system, optimization of choosing the airport place is very important in country development. Analytical Hierarchy Process (AHP) have possible in using the linguistic variables along quantitative variables and essentially is based on expert opinions. In recent years in order to increase the capability of AHP, this method combined with the fuzzy method and in the Fuzzy-AHP algorithm is presented. In this paper, analytic hierarchy process (AHP), one of multi-criteria decision making (MCDM) techniques in the fuzzy environment is applied to select the optimal alternative for airport site selection in a case study. Results show that using AHP in the fuzzy environment improves decision making through considering more important factors in decision making. So the goal of this research is to investigate the environmental factors incorporating with airport site selection and optimal design for airport site selection using the GIS-based methodology in an illustrative study area.
Decision Making for Site Selection Using Fuzzy Modelling
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022
We know nowadays selection of appropriate site for any project is influenced by several factors that can be ecological and environmental awareness, social acceptance of land development activity, geological factors and many more. And selection of land is considered as very important phase of whole process of land development. Many times we see that number of experienced decision makers makes decision for site selection randomly on the basis of prior experiences, But due to numerous factors influence the choice of site selection some times decision may go wrong when took randomly. Hence the scope of this paper deals with formulating a preliminary model for primary site selection of the residential building and then developing an support system that can be used by decision makers for site selection. Which complies the large data required to take the decision. F-AHP uses a hierarchical structure comprising factors that are based on factual data and the knowledge and experience of the decision makers. This data was collected by conducting a questionnaire survey amongst the decision makers.
Expert Systems with Applications, 2011
Decision-making problems often involve a complex decision-making process in which multiple requirements and uncertain conditions have to be taken into consideration simultaneously. We are often required to deal with uncertainty, subjectiveness and imprecise data, which are represented by fuzzy data. In this paper, we consider the ideal solution and the anti-ideal solution and assess each alternative in terms of distance as well as similarity to the ideal solution and the anti-ideal solution. To minimize the error, the normalization of fuzzy data is carefully avoided. To get greater accuracy in ranking fuzzy rating, we use the latest and advanced similarity measure. Distance and similarity measures for fuzzy numbers are used and aggregation is guided by the decision rules in order to construct decision function. Further, OWA operators with maximal entropy are used to aggregate across all criteria and the overall score of each alternative is determined The proposed method is more flexible in modeling the decision maker's preferences and more appropriate and effective to handle multicriteria problems of considerable complexity.
A GIS-based Spatial Multi-Criteria Decision Analysis: Crisp and Fuzzy Methods
2019
Multi-Criteria Decision Analysis (MCDA) supports decision making through the assessment of a finite set of alternatives on the basis of multiple evaluation criteria. Spatial Multi-Criteria Decision Analysis deals with problems incorporating a spatial reference. Thereby, it places emphasis not only on which alternative will be finally chosen (action) but also on where such alternative will be implemented (location). Alternatives usually represent locations in the geographical space. Evaluation criteria represent a number of layers containing these locations. Thus, spatial MCDA is a map overlay process where a set of layers are combined and produce a decision map. Spatial MCDA is also popular as “Overlay Analysis”. This poster focuses on the application of a GIS-based Spatial MCDA aiming at optimal site selection for the development of an agro-tourist infrastructure. Crisp and fuzzy MCDA methods are applied under the framework of a Geographic Information System.
Developing a Novel Method for Optimum Site Selection Based on Fuzzy Genetic System and GIS
The location of fire stations is an important factor for saving and protecting human lives and properties. In other words, the location of fire stations is one of the most important criteria that can reduce damages caused by accidents. Therefore, it is important for every city to have a good coverage of fire stations. As a result determination of optimum location of fire stations is one of the most important issues that urban administrators are faced to. Geospatial Information System (GIS) as a system for management and analysis of spatial data, is an effective tool for optimization of site selection problems. Obviously, GIS alone is not the solution to the problem, but by integrating it with other methods and applications, it has the potential to solve many of problems. This paper is an attempt to make the optimum site selection problem in continuous space easier by applying a new methodology. The proposed strategy includes three components of GIS, fuzzy reasoning systems and genet...
INDUSTRIAL SITE SELECTION: AN INTELLIGENT GIS- BAESD DECISION ANALYSIS APPROACH
Building a new capital improvement facility is a major, long-term investment. Site selection is a critical decision made by private and public owners that affects a wide range of activities ranging from land use planning to sitting of industrial facilities. Determining facilities locations is critical to the success and failure of such investments. The selection of an industrial site involves a complex array of critical factors involving economic, social, technical, and environmental issues. Site selection is the process of finding locations that meet desired conditions set by the selection criteria. In such a process, manipulation of spatial data and satisfaction of multiple criteria are essential to the success of decision-making. Because of the complexity of the problems a number of tools must be deployed to arrive at the proper solution. A proposed approach is presented in which Expert Systems, Geographic information systems and Multi-criteria decision making techniques are integrated systematically in solving industrial site selection problems. In addition, the paper presents a comprehensive discussion of the site selection process, characteristics and tools.