Abstract
The methodology, Multicriteria Decision Making (MCDM), refers to finding the best alternative from all of the feasible alternatives in the presence of multiple, usually conflicting, decision criteria. Nowadays, intelligent buildings’ performance that is increasingly evidenced in building design and construction has been analyzed by using MCDM techniques. Intelligent buildings (IBs) are also under assessment according to their IB related characteristics and actual circumstances as a MCDM problem. In this paper, two most known MCDM methodologies, Analytic Hierarchy Process (AHP) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), are used for intelligent building assessment under fuzzy environment for dealing with the evaluations’ uncertainty and imprecision in which the expert's comparisons that are represented as fuzzy numbers. For this aim, three intelligent building alternatives for a business centre in Istanbul are evaluated by using these two fuzzy MCDM methods and the obtained ranking results are compared.
Highlights
For many years, buildings that offer comfortable, flexible and energy efficient living environment at a minimal cost has been the expectation of building owners and occupiers
While a plethora of advanced building products have been accessible, it has become increasingly evident that developers are confronted with the quandary of choosing components or products to suit the needs and to accomplish the unique configuration of a particular intelligent building (IB) project (Wong, Li 2008)
Intelligent buildings (IBs) are under assessment according to their IB related characteristics and actual circumstances
Summary
Buildings that offer comfortable, flexible and energy efficient living environment at a minimal cost has been the expectation of building owners and occupiers. IBs should be sustainable, healthy, and technologically aware, meeting the needs of the occupants and business, and should be flexible and adaptable to deal with change (ALwaer et al 2010; Kahraman, Kaya 2012). In this regard, building assessment is becoming popular in order to have a standard method to evaluate new and existing building design. Used a consensus-based analytical hierarchical process (AHP) model for multi-criteria decision-making to identify key issues related to sustainable intelligent buildings They developed a conceptual model for the selection of the appropriate key performance indicators (KPIs). The obtained results are compared and future research directions are indicated in final section
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