Multi-Criteria Analysis of Design Solutions in Architecture and Engineering: Review of Applications and a Case Study
AbstractThe primary goal of this paper is to present the application potential of MCDM/MCDA (multi-criteria decision-making/multi-criteria decision analysis) methods in the field of architecture and urban planning and in energy efficient construction, especially in the context of sustainable development paradigm. The first part of this paper is devoted to literature studies pertaining to multi-criteria decision-making support in the selected fields. On the basis of the delivered review, it was demonstrated that the most popular methods belonging to the MCDM/MCDA group that have been used so far for the purpose of resolving selected decision-making challenges, is the AHP (analytic hierarchy process) method with modifications, TOPSIS (technique for order of preference by similarity to ideal solution) method, as well the up-and-coming COPRAS (complex proportional assessment) method. In addition, by reviewing the literature, it was found that MCDM/MCDA methods constitute an effective support tool at the stage of evaluating and selecting project solutions, and are especially helpful in framing various social, economic, environmental criteria that are permanently linked to the rule of sustainable development. The empirical section of this paper, through a case study, presents a comparative analysis of the classical AHP method with its extension onto fuzzy sets. The case study pertained to the criteria for the location of single-family residential buildings with solar installations.
|Journal series||Buildings, ISSN 0007-3725, e-ISSN 2471-3112, (N/A 70 pkt)|
|Publication size in sheets||0.8|
|Keywords in English||multi-criteria decision-making; multi-criteria decision analysis; fuzzy AHP; sustainable development; design solutions|
|ASJC Classification||; ;|
|Internal identifier||ROC 19-20|
|License||Journal (articles only); published final; ; with publication|
|Score||= 70.0, 12-02-2020, ArticleFromJournal|
|Publication indicators||: 2016 = 0.568|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.