Application of fuzzy optimisation in forecasting and planning of construction industry
This chapter proposes a new method to obtain optimal solution using satisfactory approach in uncertain environment. The optimal solution is obtained by using possibilistic linear programming approach and intelligent computing by MATLAB?. The optimal solution for profit function, index quality and wo...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Book Chapter |
| Published: |
Idea Group
2008
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| Online Access: | http://hdl.handle.net/20.500.11937/7124 |
| _version_ | 1848745275925987328 |
|---|---|
| author | Vasant, P. Barsoum, Nader Kahraman, C. Dimirovski, G. |
| author2 | Dimitris Vrakas |
| author_facet | Dimitris Vrakas Vasant, P. Barsoum, Nader Kahraman, C. Dimirovski, G. |
| author_sort | Vasant, P. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This chapter proposes a new method to obtain optimal solution using satisfactory approach in uncertain environment. The optimal solution is obtained by using possibilistic linear programming approach and intelligent computing by MATLAB?. The optimal solution for profit function, index quality and worker satisfaction index in construction industry is considered. Decision maker and implementer tabulate the final possibilistic and realistic outcome for objective functions respect to level of satisfaction and vagueness for forecasting and planning. When the decision maker finds the optimum parameters with acceptable degree of satisfaction, he/she can apply the confidence of gaining much profit in terms of helping the public with high quality and least cost products. The proposed fuzzy membership function allows the implementer to find a better arrangement for the equipments in the production line to fulfill the wanted products in an optimum way. |
| first_indexed | 2025-11-14T06:14:47Z |
| format | Book Chapter |
| id | curtin-20.500.11937-7124 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:14:47Z |
| publishDate | 2008 |
| publisher | Idea Group |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-71242017-09-13T14:40:30Z Application of fuzzy optimisation in forecasting and planning of construction industry Vasant, P. Barsoum, Nader Kahraman, C. Dimirovski, G. Dimitris Vrakas This chapter proposes a new method to obtain optimal solution using satisfactory approach in uncertain environment. The optimal solution is obtained by using possibilistic linear programming approach and intelligent computing by MATLAB?. The optimal solution for profit function, index quality and worker satisfaction index in construction industry is considered. Decision maker and implementer tabulate the final possibilistic and realistic outcome for objective functions respect to level of satisfaction and vagueness for forecasting and planning. When the decision maker finds the optimum parameters with acceptable degree of satisfaction, he/she can apply the confidence of gaining much profit in terms of helping the public with high quality and least cost products. The proposed fuzzy membership function allows the implementer to find a better arrangement for the equipments in the production line to fulfill the wanted products in an optimum way. 2008 Book Chapter http://hdl.handle.net/20.500.11937/7124 10.4018/978-1-59904-705-8.ch010 Idea Group restricted |
| spellingShingle | Vasant, P. Barsoum, Nader Kahraman, C. Dimirovski, G. Application of fuzzy optimisation in forecasting and planning of construction industry |
| title | Application of fuzzy optimisation in forecasting and planning of construction industry |
| title_full | Application of fuzzy optimisation in forecasting and planning of construction industry |
| title_fullStr | Application of fuzzy optimisation in forecasting and planning of construction industry |
| title_full_unstemmed | Application of fuzzy optimisation in forecasting and planning of construction industry |
| title_short | Application of fuzzy optimisation in forecasting and planning of construction industry |
| title_sort | application of fuzzy optimisation in forecasting and planning of construction industry |
| url | http://hdl.handle.net/20.500.11937/7124 |