eprintid: 14022
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/40/22
datestamp: 2023-11-10 03:28:35
lastmod: 2023-11-10 03:28:35
status_changed: 2023-11-10 01:52:33
type: article
metadata_visibility: show
creators_name: Low, C.X.
creators_name: Ng, W.Y.
creators_name: Putra, Z.A.
creators_name: Aviso, K.B.
creators_name: Promentilla, M.A.B.
creators_name: Tan, R.R.
title: Induction approach via P-Graph to rank clean technologies
ispublished: pub
note: cited By 13
abstract: Identification of appropriate clean technologies for industrial implementation requires systematic evaluation based on a set of criteria that normally reflect economic, technical, environmental and other aspects. Such multiple attribute decision-making (MADM) problems involve rating a finite set of alternatives with respect to multiple potentially conflicting criteria. Conventional MADM approaches often involve explicit trade-offs in between criteria based on the expert's or decision maker's priorities. In practice, many experts arrive at decisions based on their tacit knowledge. This paper presents a new induction approach, wherein the implicit preference rules that estimate the expert's thinking pathways can be induced. P-graph framework is applied to the induction approach as it adds the advantage of being able to determine both optimal and near-optimal solutions that best approximate the decision structure of an expert. The method elicits the knowledge of experts from their ranking of a small set of sample alternatives. Then, the information is processed to induce implicit rules which are subsequently used to rank new alternatives. Hence, the expert's preferences are approximated by the new rankings. The proposed induction approach is demonstrated in the case study on the ranking of Negative Emission Technologies (NETs) viability for industry implementation. © 2019 The Authors Chemical engineering, Optimal selection; Simple additive weighting; Clean technologies; Induction; Decision analysis; P-graph. © 2019 The Authors
date: 2020
publisher: Elsevier Ltd
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077114055&doi=10.1016%2fj.heliyon.2019.e03083&partnerID=40&md5=95a4fb79398393abddda9cb84f7718b9
id_number: 10.1016/j.heliyon.2019.e03083
full_text_status: none
publication: Heliyon
volume: 6
number: 1
refereed: TRUE
issn: 24058440
citation:   Low, C.X. and Ng, W.Y. and Putra, Z.A. and Aviso, K.B. and Promentilla, M.A.B. and Tan, R.R.  (2020) Induction approach via P-Graph to rank clean technologies.  Heliyon, 6 (1).   ISSN 24058440