Neural network decision support system for effective decision making in the decision to bid process

Jamshid Parvar; David Lowe; Margaret Emsley

Neural network decision support system for effective decision making in the decision to bid process

Jamshid Parvar, David Lowe, Margaret Emsley

Alliance Manchester Business School

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Abstract

Important factors in the decision to bid process are identified. A rational and optimal model of decision making for the decision to bid process, which depicts the relationships between these factors and the decision to bid options, is developed. Regression models and neural networks approach are employed to automate the rational and optimal model. Prototyping system development methodology is used as the neural networks system development. The neural networks approach in addition to the ability to model non-linear relationships, demonstrates superior performance in respect of higher accuracy of prediction and classification. The developed neural networks system is harnessed to develop a Decision Support System to support effective and efficient decision making for the decision to bid process.

Original language	English
Title of host publication	Proceedings of ASCE Specialty Conference on Fully Integrated and Automated Project Processes, Virginia Polytechnic and State University, Blacksburg, Virginia.
Editors	Anthony Songer
Publisher	American Society of Civil Engineers
Pages	301-310
Number of pages	10
Publication status	Published - Jan 2002
Event	Proceedings of ASCE Specialty Conference on Fully Integrated and Automated Project Processes, Virginia Polytechnic and State University, Blacksburg, Virginia. - Duration: 1 Jan 1824 → …

Conference

Conference	Proceedings of ASCE Specialty Conference on Fully Integrated and Automated Project Processes, Virginia Polytechnic and State University, Blacksburg, Virginia.
Period	1/01/24 → …

Keywords

bidding, modelling, decision support system, neural networks

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Parvar, J., Lowe, D., & Emsley, M. (2002). Neural network decision support system for effective decision making in the decision to bid process. In A. Songer (Ed.), Proceedings of ASCE Specialty Conference on Fully Integrated and Automated Project Processes, Virginia Polytechnic and State University, Blacksburg, Virginia. (pp. 301-310). American Society of Civil Engineers.

Parvar, Jamshid ; Lowe, David ; Emsley, Margaret. / Neural network decision support system for effective decision making in the decision to bid process. Proceedings of ASCE Specialty Conference on Fully Integrated and Automated Project Processes, Virginia Polytechnic and State University, Blacksburg, Virginia.. editor / Anthony Songer. American Society of Civil Engineers, 2002. pp. 301-310

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title = "Neural network decision support system for effective decision making in the decision to bid process",

abstract = "Important factors in the decision to bid process are identified. A rational and optimal model of decision making for the decision to bid process, which depicts the relationships between these factors and the decision to bid options, is developed. Regression models and neural networks approach are employed to automate the rational and optimal model. Prototyping system development methodology is used as the neural networks system development. The neural networks approach in addition to the ability to model non-linear relationships, demonstrates superior performance in respect of higher accuracy of prediction and classification. The developed neural networks system is harnessed to develop a Decision Support System to support effective and efficient decision making for the decision to bid process.",

keywords = "bidding, modelling, decision support system, neural networks",

author = "Jamshid Parvar and David Lowe and Margaret Emsley",

year = "2002",

month = jan,

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pages = "301--310",

editor = "Anthony Songer",

booktitle = "Proceedings of ASCE Specialty Conference on Fully Integrated and Automated Project Processes, Virginia Polytechnic and State University, Blacksburg, Virginia.",

publisher = "American Society of Civil Engineers",

address = "United States",

note = "Proceedings of ASCE Specialty Conference on Fully Integrated and Automated Project Processes, Virginia Polytechnic and State University, Blacksburg, Virginia. ; Conference date: 01-01-1824",

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Parvar, J, Lowe, D & Emsley, M 2002, Neural network decision support system for effective decision making in the decision to bid process. in A Songer (ed.), Proceedings of ASCE Specialty Conference on Fully Integrated and Automated Project Processes, Virginia Polytechnic and State University, Blacksburg, Virginia.. American Society of Civil Engineers, pp. 301-310, Proceedings of ASCE Specialty Conference on Fully Integrated and Automated Project Processes, Virginia Polytechnic and State University, Blacksburg, Virginia., 1/01/24.

Neural network decision support system for effective decision making in the decision to bid process. / Parvar, Jamshid; Lowe, David; Emsley, Margaret.
Proceedings of ASCE Specialty Conference on Fully Integrated and Automated Project Processes, Virginia Polytechnic and State University, Blacksburg, Virginia.. ed. / Anthony Songer. American Society of Civil Engineers, 2002. p. 301-310.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Lowe, David

AU - Emsley, Margaret

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AB - Important factors in the decision to bid process are identified. A rational and optimal model of decision making for the decision to bid process, which depicts the relationships between these factors and the decision to bid options, is developed. Regression models and neural networks approach are employed to automate the rational and optimal model. Prototyping system development methodology is used as the neural networks system development. The neural networks approach in addition to the ability to model non-linear relationships, demonstrates superior performance in respect of higher accuracy of prediction and classification. The developed neural networks system is harnessed to develop a Decision Support System to support effective and efficient decision making for the decision to bid process.

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Neural network decision support system for effective decision making in the decision to bid process

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