Samenvatting

This study tackles the problem of locations analysis and decision making in FREM organizations using a technological tool named expert decision support system (EDSS) that enhances the procedure of real estate location analysis and decision making in an objective form.
On the one hand, deciding on the location of the real estate is one of the most critical issues in FREM organizations and has a significant impact on the performance of the core business under which the FREM organizations operates. On the other hand, utilizing the technological tools for decision making and analysis is turning into a top trend in many businesses, supporting the organization 's activities for more efficiency and effectiveness. Consequently, employing such systems seems to be essential to support the procedure of real estate location decision making in FREM organizations for keeping the business prosperous and flourishing. Nevertheless, the application of such modern tech-tools in the realm of FREM has been very limited so far.
This study proposes an expert decision support system (EDSS) for performing location analysis andmaking real estate location decisions in FREM organizations, which is particularly useful for making strategic decisions in portfolio management, investment appraisal, development projectevaluations, and deciding on usage possibilities. This EDSS is designed to handle the uncertainties that affect the effectiveness and accuracy of the decisions in decision-making environments usingfuzzy logic and uncertainty theory as two of the most useful tools for this purpose.
This system is designed and developed based on the objectives, aspirations, and insights of the organization 's strategic decision makers, in a typical case of an investor-developer-user organization, that is initiating an expansion project of investing in several real estates to develop new properties and expand its market coverage. The EDSS takes the information provided by the experts in the field(through qualitative and quantitative data collecting from them) as the inputs and operates as an objective decision-making tool based on logical, and mathematical programming. It performs an unbiased analysis based on the input data and the outlined objectives by the organization 's decision- makers and delivers the best possible solutions to the organization.
The locations of the mentioned real estates must possess specific attributes that form the company 'sdecision criteria. The potential locations need to score sufficiently in all decision criteria before they can be considered for selection. The company has already determined fifty-nine locations withminimum required scores in each decision criterion. However, not all locations are selectable since the project budget is limited. Therefore, the company aims to make a smart selection of the locations within its budget with the best achievable score in each and every decision criterion simultaneously.
The most difficult part of dealing with this problem is the multi-objectivity of the problem which means the solution must satisfy five different aspects of the problem that might be even contradictory to one another. Making such decisions is at the stake of compromising between the objectives which might be highly inaccurate and subjective in traditional ways. Therefore, having an objective expert system that works based on the inputs of several resources may help to improve the quality of the decisions significantly.
The proposed EDSS utilized the input data from the expert, executed a combination of several modeling and problem-solving approache