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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/25335

Title: An intelligent technology selection algorithm for complex decision environments – a unique knowledge based approach
Authors: Evans, Liam
Lohse, Niels
Issue Date: 2010
Citation: EVANS, L. and LOHSE, N., 2010. An intelligent technology selection algorithm for complex decision environments – a unique knowledge based approach. Presented at the 7th International Conference on Knowledge Management (ICKM 2010), Pittsburgh, USA, 22-23rd October.
Abstract: This paper investigates the role of an intelligent technology selection algorithm for complex decision environments. The elicitation and formulization of expert decision thinking is presented in support of a unique approach to the subject. The problem definition is defined and an overview of the current state of the art provides a background into the subject area. The notion utilizes a knowledge base in prior selection of criteria ratings in a fuzzy ruled base system for analytic factors. The approach aims to optimize investment portfolios at manufacturing organizations by providing an efficient and quality decision-making process.
Description: This is a conference paper.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/25335
Appears in Collections:Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)

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