@inproceedings{94173da214524def844c37b734f50166,
title = "Applying desirability Functions to preference modelling in low-energy building design optimization",
abstract = "Building performance optimization is a valuable aid to design decision-making. Most existing research takes an 'a posteriori' approach, where stakeholder preferences are considered after deriving optimised results. Whilst this approach yields technically optimal solutions, it overlooks sub-optimal solutions that still satisfy stakeholder preferences. This research develops a technique to incorporate preferences into optimization by applying a {"}desirability function{"} to each criterion for multiple stakeholders. The approach enables the tradeoffs between decision-makers to be visualised as a Pareto frontier and aids {"}democratic{"} decision-making. Hence, incorporating preferences in advance of optimization may increase the likelihood of finding a desirable solution.",
author = "E. Robinson and Hopfe, {C. J.} and M. Emmerich and I. Yevseyeva and Wright, {J. A.}",
year = "2019",
language = "English",
series = "Building Simulation Conference Proceedings",
publisher = "International Building Performance Simulation Association",
pages = "3030--3037",
editor = "Vincenzo Corrado and Enrico Fabrizio and Andrea Gasparella and Francesco Patuzzi",
booktitle = "16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019",
note = "16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019 ; Conference date: 02-09-2019 Through 04-09-2019",
}
