Volume 56, Number 2, March-April 2022
|689 - 702
|14 April 2022
Inverse multiple criteria sorting problem with fuzzy parameters: an application of building energy labelling improvement
Ankara Yıldırım Beyazıt University, Industrial Engineering Department, 06010 Ankara, Turkey
2 Gazi University, Industrial Engineering Department, 06570 Ankara, Turkey
3 Council of Higher Education, Universiteler Mah, No: 10, 06539 Bilkent-Ankara, Turkey
* Corresponding author: email@example.com
Accepted: 8 February 2022
Classification is defined as the problem of assignment of objects to the predefined classes. In general view, classification problems divided into two groups: classification and sorting problems. Sorting problems define the case of existence of ordered classes for objects, while classes are not ordered in classification problems. Besides these two groups of classification problems, Inverse Multiple Criteria Sorting Problem (IMSCP) is also introduced into the literature in recent years. IMSCP deals with finding the possible actions that can change the assignment of objects to classes in order to obtain the desired classification of objects. The main aim in this study is to propose an extension of IMSCP with fuzzy parameters with a proper solution approach. A case study of building energy labelling improvement in an existing building site in Ankara is solved by using parametric fuzzy solution approach of Carlsson and Korhonen. Obtained results of the application presents the possible actions to improve the energy labels of the buildings within the site. Also, solution results show that the proposed model in this study can be used to improve current Building Energy Performance model in Turkey to a new one with efficiency improvement suggestions.
Mathematics Subject Classification: 90C10 / 90C70 / 90C90
Key words: Fuzzy optimization / integer programming / inverse multiple criteria sorting problem / energy efficiency
© The authors. Published by EDP Sciences, ROADEF, SMAI 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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