A methodology for augmenting sparse pairwise comparison matrices In AHP: Applications to energy systems

College

Gokongwei College of Engineering

Department/Unit

Chemical Engineering

Document Type

Article

Source Title

Clean Technologies and Environmental Policy

Volume

15

Issue

4

First Page

713

Last Page

719

Publication Date

8-2013

Abstract

Multiple-attribute decision making (MADM) techniques can be used to provide a systematic approach to selection problems in energy engineering and management. They may be used for selecting the best technologies or policies based on environmental, technical, and socio-economic criteria. Among the many available MADM techniques, the analytic hierarchy process (AHP) has become one of the most widely used due to its effective hierarchical decomposition of complex problems. However, AHP may be tedious due to the large number of pairwise comparisons needed in large problems. Furthermore, in many cases, relevant information may also be available for determining criteria weights based on past decisions that have proven satisfactory in retrospect. Thus, we propose a simple methodology for augmenting sparse pairwise comparisons in AHP through a non-linear programming model that extracts a set of consistent weights from a priori ranking of a subset of alternatives. Two case studies on the ranking of bioethanol feedstocks and of CO2 storage sites are then shown to illustrate this technique.

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Digitial Object Identifier (DOI)

https://doi.org/10.1007/s10098-012-0555-5

Keywords

Multiple-attribute decision making (MADM); CO2 storage; Bioethanol feedstock; Non-linear programming; Analytic hierarchy process

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

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