Browsing by Subject "Multi criteria decision making"

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Open Access
Barriers to the practice of sustainable interior architecture and design for interior renovations: A Parsimonious-Cybernetic Fuzzy AHP approach
(Elsevier BV, 2022-06-30) Ashour, Mojtaba; Mahdiyar, A.; Haron, S. H.; Hanafi, M. H.
While the notion of sustainability has long been a major concern in the built environment, the practice of sustainable interior architecture and design still falls short. This study aimed to identify and analyse barriers to the practice of sustainable interior architecture and design. To this end, after identifying 30 potential obstacles through a review of literature, a two-round Enhanced Fuzzy Delphi Method involving 13 qualified experts was employed resulting in the exclusion of 10, and the addition of one new barrier. To prioritise the remaining, a novel Parsimonious Cybernetic Fuzzy Analytic Hierarchy Process was introduced, significantly reducing the number of pairwise comparisons and eliminating the need for a complicated AHP questionnaire. Results showed the highest prioritised barriers are: (1) lack of sufficient sustainability modules in the education of interior architects/designers, (2) designers' lack of experience and technical understanding, (3) lack of codes, regulations and specific legal frameworks designed for different types of projects, (4) lack of interest from the client, and (5) designers’ lack of training. The findings of this study provide valuable insights for professional interior architects/designers, educators, statutory authorities, governments, and policymakers. Considering the dearth of existing literature on this topic, the present study fills this gap by providing a comprehensive list of barriers to sustainable interior architecture and design, establishes the groundwork for future research to build upon, and introduces a novel P-CFAHP that has not been employed before.
Open Access
Inequity averse optimization in operational research
(Elsevier, 2015) Karsu, Ö.; Morton, A.
There are many applications across a broad range of business problem domains in which equity is a concern and many well-known operational research (OR) problems such as knapsack, scheduling or assignment problems have been considered from an equity perspective. This shows that equity is both a technically interesting concept and a substantial practical concern. In this paper we review the operational research literature on inequity averse optimization. We focus on the cases where there is a tradeoff between efficiency and equity. We discuss two equity related concerns, namely equitability and balance. Equitability concerns are distinguished from balance concerns depending on whether an underlying anonymity assumption holds. From a modeling point of view, we classify three main approaches to handle equitability concerns: the first approach is based on a Rawlsian principle. The second approach uses an explicit inequality index in the mathematical model. The third approach uses equitable aggregation functions that can represent the DM's preferences, which take into account both efficiency and equity concerns. We also discuss the two main approaches to handle balance: the first approach is based on imbalance indicators, which measure deviation from a reference balanced solution. The second approach is based on scaling the distributions such that balance concerns turn into equitability concerns in the resulting distributions and then one of the approaches to handle equitability concerns can be applied. We briefly describe these approaches and provide a discussion of their advantages and disadvantages. We discuss future research directions focussing on decision support and robustness.