Soemardi, B W (1993) Fuzzy neural network models for design/construction processes. PhD thesis, University of Kentucky, USA.
Abstract
The decision making process for a construction project has become a more difficult task. Stricter regulations as well as higher demand for more efficient use of resources has forced the decision makers in the construction industry (i. e. , designers, construction managers, contractors) to look for ways to improve their decision making processes. One way to improve the decision making process is by forming a project team. A decision making tool that is capable of enhancing the mechanism of this group to make joint decisions would be very beneficial. Such a decision making tool must be implemented in a computer-based system. This system should be capable of imitating the human decision making process, both at the individual or the group levels. This research investigated the feasibility of integrating artificial neural network technology with the fuzzy concept, as a way to capture the human (group) decision making process. Two fuzzy neural network models, the Fuzzy Back-Propagation (FBP) and the Fuzzy Cognitive Map (FCM), are proposed to solve group decision making under multiple criteria problems. A problem of selecting a wall system design is presented as an example of the feasible application of such models in the construction industry. Two computer programs were developed to illustrate the computer implementation of such models for the wall system design selection problem.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Uncontrolled Keywords: | artificial neural network; decision making; neural network; project team |
| Index terms: | decision-making process, designer, implementation, construction industry, project team, propagation, computer program, neural network, artificial neural network, fuzzy concept, construction process, decision-making, construction project, construction manager, regulation, group decision making |
| Subjects: | building construction, decision-making and optimization, production management, contractual arrangements, decision analysis, political science, industry analysis, software systems, modelling and simulation, project delivery, artificial intelligence, engineering process, profession, risk assessment |
| Topics: | Project Management, Engineering Principles, Procurement, Risk Management, Research Practice, Governance, Roles and Professions, Digital Applications, Site Management |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here