short-paper

A fuzzy game based framework to address ambiguities in performance based contracting

Authors:

Mehdi Rajabi Asadabadi,

Morteza Saberi,

Elizabeth ChangAuthors Info & Claims

WI '17: Proceedings of the International Conference on Web Intelligence

Pages 1214 - 1217

https://doi.org/10.1145/3106426.3110323

Published: 23 August 2017 Publication History

Abstract

Avoiding ambiguity and fuzziness in the determination of the requirements is a crucial factor in the success of Performance Based Contracting (PBC). To date, there is a research gap because insufficient studies have been undertaken to address this significant issue in the pro-curement process. Previous studies that have been con-ducted on requirement specification and elicitation are limited to software engineering. This study investigates this issue in the procurement process and proposes an integrated framework using Natural Language Pro-cessing (NLP), game theory and fuzzy logic. This re-search contributes to contract theory by opening a new line of research which paves the way for leveraging arti-ficial intelligence techniques in automated or semi-automated contract monitoring.

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Cited By

Asadabadi MSharpe K(2019)The ambiguity dilemma in procurement projectsJournal of Business & Industrial Marketing10.1108/JBIM-05-2018-0157Online publication date: 21-Jan-2019
https://doi.org/10.1108/JBIM-05-2018-0157
Rajabi Asadabadi MChang EZwikael OSaberi MSharpe K(2019)Hidden Fuzzy Information: Requirement specification and measurement of project provider performance using the best worst methodFuzzy Sets and Systems10.1016/j.fss.2019.06.017Online publication date: Jul-2019
https://doi.org/10.1016/j.fss.2019.06.017

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Published In

cover image ACM Conferences

WI '17: Proceedings of the International Conference on Web Intelligence

August 2017

1284 pages

ISBN:9781450349512

DOI:10.1145/3106426

Conference Chair:
Amit Sheth
Wright State University GuoROLE@GENERAL CHAIR
,
General Chairs:
Axel Ngonga
Leipzig University, Germany
,
yin Wang
Chongqing University of Posts and Telecommunications, China
,
Elizabeth Chang
The University of New South Wales, Australia
,
Dominik Ślęzak
Infobright Inc. & University of Warsaw, Poland
,
Bogdan Franczyk
Leipzig University, Germany
,
Program Chairs:
Rainer Alt
Leipzig University, Germany
,
Xiaohui Tao
University of Southern Queensland, Australia

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SIGAI: ACM Special Interest Group on Artificial Intelligence
TCII: IEEE Computer Society Technical Committee on Intelligent Informatics
Web Intelligence Consortium

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 August 2017

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Short-paper

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WI '17

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SIGAI
TCII

WI '17: International Conference on Web Intelligence 2017

August 23 - 26, 2017

Leipzig, Germany

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WI '17 Paper Acceptance Rate 118 of 178 submissions, 66%;

Overall Acceptance Rate 118 of 178 submissions, 66%

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Cited By

Asadabadi MSharpe K(2019)The ambiguity dilemma in procurement projectsJournal of Business & Industrial Marketing10.1108/JBIM-05-2018-0157Online publication date: 21-Jan-2019
https://doi.org/10.1108/JBIM-05-2018-0157
Rajabi Asadabadi MChang EZwikael OSaberi MSharpe K(2019)Hidden Fuzzy Information: Requirement specification and measurement of project provider performance using the best worst methodFuzzy Sets and Systems10.1016/j.fss.2019.06.017Online publication date: Jul-2019
https://doi.org/10.1016/j.fss.2019.06.017

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