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

Mehdi Rajabi Asadabadi , Morteza Saberi, Elizabeth J Chang

Research output: Chapter in Book/Conference paperConference paperpeer-review

3 Citations (Scopus)

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 conducted 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. © 2017 ACM.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Web Intelligence - WI '17
PublisherAssociation for Computing Machinery (ACM)
Pages1214-1217
Number of pages4
ISBN (Electronic)9781450349512
ISBN (Print)9781450349512
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event16th IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017 - Leipzig, Germany
Duration: 23 Aug 201726 Aug 2017

Publication series

NameProceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017

Conference

Conference16th IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017
Abbreviated titleWI2017
Country/TerritoryGermany
CityLeipzig
Period23/08/1726/08/17

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