An intelligent expert systems' approach to layout decision analysis and design under uncertainty

13Citations
Citations of this article
14Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This chapter describes an intelligent soft computing based approach to layout decision analysis and design. The solution methodology involves the use of heuristics, metaheuristics, human intuition as well as soft computing tools like artificial neural networks, fuzzy logic, and expert systems. The research framework and prototype contribute to the field of intelligent decision making in layout analysis and design by enabling explicit representation of experts' knowledge, formal modeling of fuzzy user preferences, and swift generation/manipulation of superior layout alternatives to facilitate the cognitive, ergonomic, and economic efficiency of layout designers. © 2008 Springer-Verlag Berlin Heidelberg.

Cite

CITATION STYLE

APA

Ahmad, A. R., Basir, O., Hassanein, K., & Azam, S. (2008). An intelligent expert systems’ approach to layout decision analysis and design under uncertainty. Studies in Computational Intelligence, 97, 321–364. https://doi.org/10.1007/978-3-540-76829-6_12

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free