SavedAdd your journal

Journals / A|Z ITU Mimarlık Fakültesi Dergisi / 2021 / Cilt: 18 - Sayı: 2

Developing a web based software for the evaluation of architectural designs

Serkan PALABIYIK
Elif ALKILINC
Pages
365–382
Publication Date
2022-10-12
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Consequent- ly, when the decision support method presented is used through the developed software, it is seen that more conscious and objective evaluations can be made about the designs in the decision steps in the architectural design process, which has a complex and contradictory structure intertwined with abstract concepts as characters.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:When the architectural design is handled based on process and product, we see that many parameters come into play at the point of decision making.
📊
Key Findings & Data:Especially as the design problem gets complicated, the value parameters increase so much.
💡
Conclusion & Impact:Consequent- ly, when the decision support method presented is used through the developed software, it is seen that more conscious and objective evaluations can be made about the designs in the decision steps in the architectural design process, which has a complex and contradictory structure intertwined with abstract concepts as characters.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

When the architectural design is handled based on process and product, we see that many parameters come into play at the point of decision making. Especially as the design problem gets complicated, the value parameters increase so much. Producing solutions to these complex problems only with personal judgments does not yield very productive results in the accuracy of the results. Decision sup- port systems with effective use are needed to select solution suggestions in the design process, at the point of converting personal judgments into real data. For this purpose, a structured decision support method on the fuzzy AHP approach for design evaluation is presented, and a web-based interface is introduced that increases the usability of the method in practice. The interface has been developed based on ASP.Net platform as a web-based evaluation software that allows the participation of many evaluators independent of time and space. The effective- ness and advantages of the developed software are discussed in evaluating the de- signs obtained in an architectural design studio environment. The software called DDSS (Design Decision Support Software) has shown that it can be applied more effectively in multi-criteria decision-making problems by eliminating the synthe- sis processes and providing the opportunity to reach faster results. Consequent- ly, when the decision support method presented is used through the developed software, it is seen that more conscious and objective evaluations can be made about the designs in the decision steps in the architectural design process, which has a complex and contradictory structure intertwined with abstract concepts as characters.

🔖

Cite This Article

PALABIYIK, S., ALKILINC, E. (2022). Developing a web based software for the evaluation of architectural designs. A|Z ITU Mimarlık Fakültesi Dergisi, Cilt: 18 - Sayı: 2, 365–382. https://ajindex.com/articles/426350

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (11)

  1. ckerman, J. S. (2013). Architec- ture. Encyclopedia Britannica Online Academic Edition, Encyclopedia Bri- tannica Inc. AIA National & AIA California Council. (2007). Integrated Project De- livery: A Guide. American Institute of Architects (AIA), 21. Akao, Y., Mazur, G. H., & King, B. (1990). In Y. Akao (Ed.), Quality Func- tion Deployment: Integrating Custom- er Requirements into Product Design. Cambridge: Productivity Press.
  2. Alexander, C. (1964). Notes On The Synthesis Of Form. Cambridge: Har- vard University Press.
  3. Armillotta, A. (2008). Selection of layered manufacturing techniques by an adaptive AHP decision model. Ro- botics and Computer-Integrated Manu- facturing, 24, 450-461.
  4. Awasthi, A., Govindan, K., & Gold, S. (2018). Multi-tier sustainable global supplier selection using a fuzzy AHP- VIKOR based approach. International Journal of Production Economics, 195, 106-117. Bellman R. E., & Zadeh, L. A. (1977). Local and fuzzy Logics. In J. M. Dunn & G. Epstein, (Eds.), Modern Uses of Multiple-Valued Logic, 103-165. Dor- drecht: Springer. Bozbura, F. T., Beskese, A., & Kah- raman, C. (2007). Prioritization of hu- man capital measurement indicators using fuzzy AHP. Expert Systems with Applications, 32, 1100-1112.
  5. Brunelli, M. (2015). Introduction to the analytic hierarchy process. Springer International Publishing, (electronic). Buckley, J. J. (1985). Fuzzy hierar- chical analysis. Fuzzy Sets and Systems, 17(3), 233-247.
  6. Cakir, O., & Canbolat, M. (2008). A web-based decision support system for multi-criteria inventory classification using fuzzy AHP methodology. Expert Systems with Applications, 35, 1367-1378.
  7. Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95, 649-655.
  8. Chen, J. F., Hsieh, H. N., & Do, Q. H. (2015). Evaluating teaching perfor- mance based on fuzzy AHP and com- prehensive evaluation approach. Ap- plied Soft Computing, 28, 100-108.
  9. Cross, N. (2000). Engineering design methods: strategies for product design. Chichester: Wiley & Sons. Darke, J. (1979). The primary gen- erator and the design process. Design Studies, 1(1), 36-44.
  10. Giaccardi, E., & Fischer, G. (2008). Creativity and evolution: a metadesign perspective. Digital Creativity, 19(1), 19-32.
  11. Gregory, S. A. (1966). The design method. London: Springer. Harputlugil, T., Gültekin, A. T., Prins, M., & Topçu, Y. İ. (2014). Ar- chitectural design quality assessment based on analytic hierarchy process: a case study (1). Met