Residential heating system selection using the generalized Choquet integral method with the perspective of energy

Abstract

Using energy effectively is one of the most important issues and problems that countries should take up. As a parallel of increasing energy demands worldwide and still mostly using fossil fuels, energy saving issues have gained much importance in recent years for all areas of life. It is a fact that construction also plays an important role in the emergence of the energy and environmental problem that we see as the problem of our centenary. As buildings consume about 40% of the world's annual energy consumption globally, this study will focus on the evaluation of residential heating system alternatives using the generalized Choquet integral method with trapezoidal fuzzy numbers. The main contribution of this paper is to determine the interdependency among main criteria and subcriteria, the nonlinear relationship among them and the environmental uncertainties while prioritizing residential heating system alternatives using the generalized Choquet integral method with the experts' view. To the authors' knowledge, this will be the first interdisciplinary study that uses the generalized Choquet integral method for residential heating systems.

Application of generalized Choquet fuzzy integral method in the sustainability rating of green buildings based on the BSAM scheme

“…More so, Çakır (2017), in analyzing an MCDM problem for a steel-producing company, carried out a comparative assessment of the different MCDM techniques such as fuzzy TOPSIS, fuzzy ANP, fuzzy DEMATEL, EAM and found the GCFI method to be superior. Also, fuzzy TOPSIS can handle hierarchical problems but not interactive criteria (Kurt, 2014;Ozdemir & Ozdemir, 2018). Moreover, other advantages of the GCFI over the other weighting methodology include:…”

“…i. it allows for the interactivity among the main criteria and its sub-criteria (Kurt, 2014;Ozdemir & Ozdemir, 2018).…”

“…The GCFI technique has discussed in Section 1 and later in this section is superior to the other MCDM techniques. More so, it has only been applied once to solve an MCDM problem relating to sustainability issues when Ozdemir and Ozdemir (2018) employed the GCFI approach to select the best alternative among five residential heating systems. In the industrial sector, Demirel et al (2010) utilized GCFI to resolve a warehouse logistic issues for a large Turkish company while in the hospitality sector, Perçin (2019) used it to evaluate the quality of hospitals' websites; and Karczmarek et al (2018) employed GCFI for face recognition and classification; also, GCFI was used to evaluate equipment maintenance quality (Zhang et al, 2019), hybrid image encryption (Hosseinzadeh et al, 2019), and supplier selection for a steel factory (Çakır, 2017).…”

“…Two key shortcomings of this "aggregation of points" approach is that it does not allow for interactivity the main criteria and sub-criteria as well as does not reflect interdependence of these criteria (Kurt, 2014;Ozdemir & Ozdemir, 2018); For instance, Ahmad and Thaheem (2018) developed an economic sustainability assessment framework for residential buildings and study using normalization methods; although the study focused solely on economic sustainability criteria, it still left out some key criteria such as reuse of construction materials, local economy, etc. Also, the normalization methods adopted are inadequate.…”

Characterization of the Consumption Habits of Household Products That Protect the Environment

“…The study carried out in Turkey aims to form a linear optimization model that reduces Turkey's current deficit to sustainable levels through energy generation with investments in solar panels, obtaining improvements in quality and decreasing system costs, reaching lower levels compared to other energy generation sources with the purpose of not only reducing current deficits but also decreasing energy dependency, contributing to economic growth, and reducing energy costs. For its part Ozdemir and Ozdemir [14] indicates the need we have worldwide to contribute to energy savings, taking into account that 40% of the world's annual energy consumption corresponds to its use in residential buildings and of this total value 94.4% is used for HVAC (heating, ventilation, and air conditioning) systems.…”