Open AccessA New Interlink Decision Making Index for Making Multi-criteria Decision
Author(s) -
Eric Hu,
Linda Zou,
Craig Langston
Publication year - 2012
Publication title -
construction economics and building
Language(s) - English
Resource type - Journals
ISSN - 2204-9029
DOI - 10.5130/ajceb.v4i2.2929
Subject(s) - weighting , computer science , process (computing) , selection (genetic algorithm) , simple (philosophy) , index (typography) , operations research , artificial intelligence , mathematics , medicine , philosophy , epistemology , world wide web , radiology , operating system
Multi-criteria decisions usually require measurement or evaluation of performance in different units and their mix by application of weighting factors. This approach lads to potential manipulation of the results as a direct consequence of the applied weightings. In this paper a mechanism that is the brain child of the authors, has been proposed to overcome this problem. It is known as the Interlink Decision Making Index (IDMI) and has all the desired features: simple, interlink (all criteria) and automatically guaranteed dominant influence of critical criteria (i.e. no human weighting needed). The IDMI is capable of reflecting the total merits of a particular option once the normal decision making criteria and (up to two) critical criteria have been chosen. Then, without arbitrarily weighting criteria, comparison and selection of the best possible option can be made. Simple software has been developed to do this numerical transfer and graphic presentation. Two hypothetical examples are presented in the paper to demonstrate the application of the IDMI concept and its advantages over the traditional "tabular and weightingmethod" in the decision making process