Implementation of Adjusted Fuzzy AHP Method in the Assessment for Reuse of Industrial Buildings

With rapid economic development and restructuring, the number of old or obsolete buildings is growing in large cities. Construction practice has actively focused in recent decades on the regeneration of brownfield areas and creating opportunities for their cost-effective and sustainable reuse. Some of the buildings could be identified as-built industrial heritage whose purpose could be modified and used differently. Adaptive reuse can make a major contribution to sustainable development by reducing construction waste and saving natural resources. In the reuse management process, the problem is how to deal with multiple criteria that are imposed as factors in assessing the reuse of a building. Using the adjusted fuzzy analytical hierarchy process (FAHP), we explore the potential for the adaptation and new use of industrial buildings in the former area of Electronic Industry Nis (EI Nis) in Serbia. The standard FAHP, in which we determine the weights of each sub-criterion based on the expert’s evaluation, we adjusted for use when no pairwise comparison of existing alternatives was available. Multiple criteria evaluation was performed by applying many criteria and sub-criteria, taking into account the different spatial and physical performance of buildings, as well as their locational indicators. A case study is used to demonstrate the application of the method and show its effectiveness.

Using individual and common reference points to measure the performance of alternatives in multiple criteria evaluation

When evaluating or ordering alternatives in given multiple criteria, decision makers often use aspiration and reservation levels for criteria, which allows them to define some reference alternatives that build a common framework for the evaluation. In this paper, a new multiple criteria approach called DARP (Distances to Aspiration Reference Points) is presented, which can be implemented in a specific evaluation or ranking problem when many different aspiration levels should be taken into consideration. One example of such problem is measuring sustainable development of countries or states within the Union. In DARP, in order to measure the performance of alternative (state), the notion of distances between alternative and individual or common aspiration reference points is used. To handle the problem of different reference points, a modified max-min normalisation technique is proposed. DARP application for measuring Smart Growth of the EU countries is conducted to demonstrate the effectiveness of the proposed method.