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An intelligent technology selection algorithm for complex decision environments – a unique knowledge based approach

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conference contribution
posted on 2017-06-09, 13:00 authored by Liam Evans, Niels LohseNiels Lohse
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.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

ICKM 2010: 7th International Conference on Knowledge Management

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.

Version

  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2010

Notes

This is a conference paper.

Language

  • en

Location

Pittsburgh, USA

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