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.
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DOI : 10.1051/ro/2022024
Keywords: Fuzzy optimization, integer programming, inverse multiple criteria sorting problem, energy efficiency
@article{RO_2022__56_2_689_0,
author = {Ecer, Billur and Kabak, Mehmet and Dagdeviren, Metin},
title = {Inverse multiple criteria sorting problem with fuzzy parameters: an application of building energy labelling improvement},
journal = {RAIRO. Operations Research},
pages = {689--702},
year = {2022},
publisher = {EDP-Sciences},
volume = {56},
number = {2},
doi = {10.1051/ro/2022024},
mrnumber = {4407581},
language = {en},
url = {https://www.numdam.org/articles/10.1051/ro/2022024/}
}
TY - JOUR AU - Ecer, Billur AU - Kabak, Mehmet AU - Dagdeviren, Metin TI - Inverse multiple criteria sorting problem with fuzzy parameters: an application of building energy labelling improvement JO - RAIRO. Operations Research PY - 2022 SP - 689 EP - 702 VL - 56 IS - 2 PB - EDP-Sciences UR - https://www.numdam.org/articles/10.1051/ro/2022024/ DO - 10.1051/ro/2022024 LA - en ID - RO_2022__56_2_689_0 ER -
%0 Journal Article %A Ecer, Billur %A Kabak, Mehmet %A Dagdeviren, Metin %T Inverse multiple criteria sorting problem with fuzzy parameters: an application of building energy labelling improvement %J RAIRO. Operations Research %D 2022 %P 689-702 %V 56 %N 2 %I EDP-Sciences %U https://www.numdam.org/articles/10.1051/ro/2022024/ %R 10.1051/ro/2022024 %G en %F RO_2022__56_2_689_0
Ecer, Billur; Kabak, Mehmet; Dagdeviren, Metin. Inverse multiple criteria sorting problem with fuzzy parameters: an application of building energy labelling improvement. RAIRO. Operations Research, Tome 56 (2022) no. 2, pp. 689-702. doi: 10.1051/ro/2022024
[1] , and , A new evaluation model for service quality of health care systems based on AHP and information axiom. J. Intell. Fuzzy Syst. 28 (2015) 1009–1021.
[2] , and , A comprehensive evaluation of the most suitable HVAC system for an industrial building by using a hybrid building energy simulation and multi criteria decision making framework. J. Build. Eng. 37 (2021) 102153. | DOI
[3] , An integrated, multi-criteria approach based on environmental, economic, social, and competency criteria for supplier selection. RAIRO-Oper. Res. 55 (2021) 1487–1500. | MR | Numdam | DOI
[4] and , Developing a model and software for energy efficiency optimization in the building design process: a case study in Turkey. Turkish J. Electr. Eng. Comput. Sci. 25 (2017) 4172–4186. | DOI
[5] , and , A supply chain model with service level constraints and strategies under uncertainty. Alexandria Eng. J. 60 (2021) 6035–6052. | DOI
[6] and , A parametric approach to fuzzy linear programming. Fuzzy Sets Syst. 20 (1986) 17–30. | MR | Zbl | DOI
[7] , , , and , Hexagonal fuzzy number and its distinctive representation, ranking, defuzzification technique and application in production inventory management problem. Granular Comput. 6 (2021) 507–521. | DOI
[8] , , and , Multi-objective optimization of the building energy performance: a simulation-based approach by means of particle swarm optimization (PSO). Appl. Energy 170 (2016) 293–303. | DOI
[9] , , , and , An efficient decision support system for selecting very light business jet using CRITIC-TOPSIS method. Aircr. Eng. Aerosp. Technol. 94 (2022) 458–472. | DOI
[10] , , , , and , A multi-objective decision model for the improvement of energy efficiency in buildings. Energy 35 (2010) 5483–5496. | DOI
[11] , and , Goal programming model for bi-objective inverse multiple criteria sorting problem. J. Faculty Eng. Archit. Gazi Univ. 35 (2020) 1729–1736.
[12] and , ARAS-H: a ranking-based decision aiding method for hierarchically structured criteria. RAIRO-Oper. Res. 55 (2021) 2035–2054. | MR | Numdam | DOI
[13] , , , and , Assessing Chinese campus building energy performance using fuzzy analytic network approach. J. Intell. Fuzzy Syst. 29 (2015) 2629–2638.
[14] , , , and , An integrated fuzzy ANP–QFD approach for green building assessment. J. Civil Eng. Manage. 22 (2016) 551–563. | DOI
[15] , , , , , and , Improvements of the operational rating system for existing residential buildings. Appl. Energy 193 (2017) 112–124. | DOI
[16] , , and , A fuzzy multi-criteria decision making approach to assess building energy performance. Energy Build. 72 (2014) 382–389. | DOI
[17] , Approaches for inequity-averse sorting. Comput. Oper. Res. 66 (2016) 67–80. | MR | DOI
[18] , and , An efficient intuitionistic fuzzy approach for location selection to install the most suitable energy power plant. In: 2nd International Conference on Recent Advances in Fundamental and Applied Sciences RAFAS, Punjab (2019).
[19] , , , and , Two-plant production model with customers’ demand dependent on warranty period of the product and carbon emission level of the manufacturer via different meta-heuristic algorithms. Neural Comput. App. 33 (2021) 14263–14281. | DOI
[20] , , and , An advanced multi-criteria evaluation model of the rational building energy performance. J. Civil Eng. Manage. 22 (2016) 844–851. | DOI
[21] , and , Inverse multiple criteria sorting problem. Ann. Oper. Res. 267 (2018) 379–412. | MR | DOI
[22] , , and , Energy auditing of indoor swimming facility with multi-criteria decision analysis for ranking the proposed energy savings measures. Energ. Effic. 14 (2021) 36. | DOI
[23] , , , Ters Çok AmaçlıSınıflandırma Problemleri. Yöneylem Araştırması/Endüstri Mühendisliği 35. Ulusal Kongresi, Ankara (2015).
[24] , and , An interactive approach for inverse multiple criteria sorting problem. J. Multi-Criteria Decis. Anal. 28 (2021) 160–169. | DOI
[25] , and , Modelling of driving factors for energy efficiency in buildings using Best Worst Method. Mater. Today Proc. 39 (2021) 137–141. | DOI
[26] , , , , , , and , Artificial bee colony optimization-inspired synergetic study of fractional-order economic production quantity model. Soft Comput. 24 (2020) 15341–15359. | DOI
[27] , , and , Synergetic study of inventory management problem in uncertain environment based on memory and learning effects. Sādhanā 46 (2021) 39. | MR | DOI
[28] , and , Quantitative energy performance assessment methods for existing buildings. Energy Build. 55 (2012) 873–888. | DOI
[29] , , and , Identification of protective actions to reduce the vulnerability of safety-critical systems to malevolent intentional acts: an optimization-based decision-making approach. Risk Anal. 40 (2020) 565–587. | DOI
[30] , , , and , Sustainable building energy efficiency retrofit for hotel buildings using EPC mechanism in China: analytic Network Process (ANP) approach. J. Cleaner Prod. 107 (2015) 378–388. | DOI
[31] and , Multi criteria classification and sorting methods: a literature review. Eur. J. Oper. Res. 138 (2002) 229–246. | Zbl | DOI
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