Residential Heating System Selection Using MCDM Techniques

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 is also 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 fuzzy numbers. Multi- Criteria Decision Making (MCDM) techniques, fuzzy AHP and fuzzy ANP methods are used for evaluation and the results of both algorithms are compared. The main contribution of this paper is to select residential heating system alternatives using numerical methods with experts’ view.