It is apparent that there is a need for integrated criteria in the performance measurement of modern organisations when dealing with the performance measurement of manufacturing businesses. This paper addresses this issue in the context of measuring the performance of the 2nd Air Supply and Maintenance Center Command manufacturing/maintenance jobshops of Turkey by using a new framework which combines fuzzy TOPSIS (technique for order preference by similarity to ideal solution) for measuring qualitative performance with DEA (data envelopment analysis) for measuring quantitative performance. This proposed approach provides a comprehensive measure of performance incorporating both quantitative and qualitative attributes, which in general reflect efficiency and effectiveness of the manufacturing jobshops respectively.

In urban planning, housing evaluation of residential areas plays a critical role in promoting economic efficiency. This study produced an evolutionary-based map through the combination of hybrid Multicriteria Decision Making (MCDM) and Geographical Information System (GIS) by assessing suitability of housing location. Suitable locations were modelled and determined with the present study from very low suitability to very high suitability. In the first stage, Fuzzy DEMATEL (the Decision Making Trial and Evaluation Laboratory) and Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES) under fuzzy conditions as a subjective and an objective (model-based) technique, respectively, were employed to find the weights of criteria which are critical part of decision making. In the second stage, housing evaluation map for these two approaches was drawn and their performances were classified and measured with WLC (Weighted Linear Combination) method. 29 criteria determined were prioritized as per judgment of urban planning and real estate experts for Fuzzy DEMATEL and CMA-ES. After having been coded to MATLAB for obtaining optimum weights in CMA-ES, all collected data for 160 houses were mapped as vectorial (positional) and transformed to raster (pixel) data by getting entered in ArcGIS 10.4 software. We achieved CMA-ES-WLC maximization values for 104 alternatives with (positive value) 65% performance, but we obtained FDEMATEL-WLC maximization values for 56 alternatives with (negative value) 35% performance. WLC values calculated with CMA-ES and FDEMATEL weights allowed us to conclude that the houses with the highest suitability in terms of investment are in Alpaslan, Köşk, and Melikgazi streets. The result shows that the methodology used in the application of this study performed in Turkey is an important and powerful technology in providing decision support for spatial planning.

The solution of facility site selection problems is of utmost importance for the existence and future of the businesses. When planning for banking services, banks should ensure their accessibility standards by taking their customers and needs into ac

Housing development provides economic growth with location, project ideas, and capital factors. In addition to their own experiences, workers in the field of housing development should consider several criteria when choosing the best locations for residential investments. All of these criteria can be evaluated using fuzzy multicriteria decision-making analyses. In this study, the weights of different evaluation criteria are determined using the fuzzy analytic hierarchy process (FAHP) and fuzzy entropy (FENTROPY) methods. Luxury residential zone-oriented ranking is applied using the fuzzy technique for order preference by the similarity to ideal solution (FTOPSIS) method with weights determined by the FAHP and FENTROPY methods. Performance evaluation for the determination of the best luxury housing is performed by the FTOPSIS method. The criteria weights used in luxury housing site selection are calculated using both objective and subjective techniques. This method was tested for Istanbul, Turkey, ...

Today, product design has been much more complicated when compared with the past. Shorter product life cycle increased product development cost. In order to stay competitive in the market, a well-designed product should be able to not only meet functionality requirements, but also satisfy consumers’ psychological needs (or feelings). In this study, a rough set based kansei engineering decision support system was developed using Fuzzy AHP (Analytical Hierarchical Process) and PLS (Partial Least Square) approximations. Decision rules for 16 design samples were generated by orthogonal design. Twelve selected samples were tested whether the decision of customers were true or not related with the sample products in terms of taste of customers. We find that qualitative evaluations for product design in kansei engineering are more consistent with the results of consumers rather than quantitative evaluations.