Fuzzy group decision-making for facility location selection
Information Sciences—Informatics and Computer Science: An International Journal
Multiple-attribute decision making methods for plant layout design problem
Robotics and Computer-Integrated Manufacturing
Prioritization of human capital measurement indicators using fuzzy AHP
Expert Systems with Applications: An International Journal
Optimizing the distribution of shopping centers with parallel genetic algorithm
Engineering Applications of Artificial Intelligence
Group consensus algorithms based on preference relations
Information Sciences: an International Journal
A new fuzzy MCDM approach based on centroid of fuzzy numbers
Expert Systems with Applications: An International Journal
Selection of new production facilities with the Group Analytic Hierarchy Process Ordering method
Expert Systems with Applications: An International Journal
Fuzzy analytic hierarchy process: A logarithmic fuzzy preference programming methodology
International Journal of Approximate Reasoning
A fuzzy decision support system for digital camera selection based on user preferences
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
Distance-based consensus models for fuzzy and multiplicative preference relations
Information Sciences: an International Journal
Computers and Electronics in Agriculture
E-government diffusion in Iran: a public sector employees' perspective
International Journal of Business Information Systems
Hi-index | 12.06 |
The aim of this study is to model shopping center site selection problem for a real world application in Istanbul which is the most populated city in Turkey. Since Turkish metropolitan cities have been attracting a large population from smaller cities and rural areas, it has caused a considerable increase in the population of the big cities of Turkey. The growth in population and the enormous shift of people from old to newly developed districts in Istanbul also create new spending demand areas. This is the most powerful motivation to generate new sites in the city for locating attractive shopping centers. A number of conflicting qualitative and quantitative criteria exist for evaluating alternative sites. Qualitative criteria are often accompanied by ambiguities and vagueness. This makes fuzzy logic a more natural approach to this kind of multi criteria decision making (MCDM) problems. The paper proposes a combined MCDM methodology. Fuzzy AHP (analytic hierarchy process) is utilized for assigning weights of the criteria for site selection and fuzzy TOPSIS (technique for order preference by similarity to ideal solution) is used to determine the most suitable alternative using these criteria weights. The study was followed by the sensitivity analysis of the results.