Building Multi-Criterion Design

An Inspiring Visual Tour of Building Multi-Criterion Design

Multiple-criteria decision-making (MCDM) or multiple-criteria decision analysis (MCDA) is a sub-discipline of operations research that explicitly evaluates multiple conflicting criteria in decision making (both in daily life and in settings such as business, government and medicine).

What role does multi-criterion decision making play in building thermal design optimization?add. The study reveals that multi-criterion decision making (MCDM) helps evaluate the trade-offs among capital costs, operating costs, and occupant comfort, facilitating better design decisions.

Multi-Criteria Decision-Making - an overview - ScienceDirect.

Abstract Building design processes usually follow similar. workflows with different stakeholders and interdisciplinary design teams incorporating their individual domain knowledge.

Illustration of Building Multi-Criterion Design
Building Multi-Criterion Design

Multiple Criteria Decision Making (MCDM) is an approach designed for the evaluation of problems with a finite or an infinite number of choices. The basic process of decision-making can be broken into several stages as shown in Figure 01 below.

The document outlines training on multiple criteria decision-making (MCDM) methods. It discusses what MCDM is and provides a classification of MCDM methods. The training will cover several specific MCDM techniques: CRITERIA, ENTROPY, TOPSIS, CODAS, CoCoSo, and EDAS.

Jafari-Asl, Jafar ; Ohadi, Sima ; Mirjalili, Seyedali . / Multi-criterion design optimization of contamination detection sensors in water distribution systems . Handbook of Whale Optimization Algorithm: Variants, Hybrids, Improvements, and Applications. Elsevier, 2023. pp. 139-148.

Building Multi-Criterion Design photo
Building Multi-Criterion Design

As we can see from the illustration, Building Multi-Criterion Design has many fascinating aspects to explore.

Multi-criterial microwave design with robustness evaluation. Gray manifold indicates the feasible region encompassing the vectors for which, for a given Fp, the specifications are met (the feasible region is enlarged for the relaxed Fp).

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A Closer Look: Building Multi-Criterion Design Gallery