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Today, the number of shopping malls, which have an important place in the retail sector, which is the return of social and modern life, is increasing day by day. This situation leads the administrations to various and innovative searches. Analyzing the current performances of shopping centers and offering appropriate solutions are also a solution to these pursuits. Due to this newly emerged need and, in order to contribute to the development and performance measurement of shopping centers, in this study, a performance index measurement model is developed for shopping malls. In the proposed performance index model, 6 main criteria and 135 sub-criteria were determined. In order to evaluate the performance criteria and the performance of the shopping malls, Analytic Hierarchy Process (AHP) and Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) methods were preferred. In the application phase of the developed model, the sample of the research was applied to four shopping malls in Istanbul. The analysis of the results, were evaluated comparatively with 2 methods namely SWOT analysis and radar diagram analysis. A far as we know, this study presents, a new and comprehensive model for evaluating the performance of shopping malls first time in the literature. It is hoped that, with the proposed model and proposed solutions, competitive advantage in the retail sector will be achieved and will make a positive contribution to the sector. [ABSTRACT FROM AUTHOR]

Multi-Criteria Decision Making (MCDM) methods help researchers in solving many problems in terms of numerical analysis. However, MCDM methods have not been very popular in the health sector. In this study, five ones of Turkey's most intense and highly populated cities were selected and the risk of the spread of Covid-19 disease was evaluated on the basis of seven criteria. The PROMETHEE and the ELECTRE methods were conducted to rank the cities in terms of the spread of Covid-19. The PROMETHEE method correctly ranked the most risky city as Istanbul, but ELECTRE ranked Istanbul the second most risky. The results of the methods are compared with real data. PROMETHEE gave more convenient results than ELECTRE. Also, this paper offers a new field of study to the literature. [ABSTRACT FROM AUTHOR]

In contemporary era, solid waste management has become an important issue for developing countries. Rapidly increasing population, higher life-standards and technological advancements consistently increase the amount and the diversity of solid waste. In such a complicated environment, municipal authorities need to develop the most effective disposal solution to manage the ever-growing municipal solid waste. In this study various disposal techniques that are utilized globally are investigated and different scenarios that could be applicable to Turkey are created. These scenarios might also be implementable for other Europe and Central Asia (ECA) countries. For that purpose, 8 solid waste disposal scenarios were evaluated via 7 criteria which are determined according to the opinions of the experts from the field. Towards this end, three different multi-criteria decision-making methods, namely, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) I and PROMETHEE II were utilized for the scenario evaluation. Consequently, the most appropriate and feasible scenarios are determined. The results indicate the prominence of recycling and landfill technologies for developing countries. The results are consistent by means of all the three methodologies that are used. [ABSTRACT FROM AUTHOR]

• A new approach is developed by using GIS, VIKOR, and PROMETHEE for EVCSs. • İstanbul and 38 districts are included in the study. • Alternative EVCS locations are derived. • A total of 195 EVCS are evaluated. • 5 main and 19 sub-criteria are taken into consideration. Considering the depletion of fossil fuels and the environmental impact of transport, reducing the use of such fuels is a globally accepted priority. Thus, when moving towards alternative energy types, the first will undoubtedly be electrical energy. In order to accelerate and contribute to this process, electric vehicles (EV) must be preferred over conventional motor vehicles. However, there are various problems associated with the use of EVs, such as range and recharge status. Optimal planning of electric vehicle charging stations (EVCS) is a solution to these problems. For this purpose, parameters affecting EVCS locations have been determined in the paper. Considering these parameters and the current EVCS locations, the most suitable alternative EVCS locations were identified using Geographical Information Systems (GIS). Both the current and alternative EVCS locations were evaluated by Analytic Hierarchy Process (AHP), Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE), and VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) from multi-criteria decision-making (MCDM) methods. The results show that, in Istanbul, the southeast of the European side and the southwest of the Anatolian side were most suitable for EVCS. [ABSTRACT FROM AUTHOR]