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Value management-based alternatives ranking approach for automated negotiation

Automation; Decision making; Information systems; Information use; Alternative ranking; Automated negotiations; Ranking approach; Value management; Multi agent systems

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Bibliographic Details
Main Authors: Mahmoud M.A., Ahmad M.S., Idrus A.
Other Authors: 55247787300
Format: Conference Paper
Published: Elsevier B.V. 2023
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spelling my.uniten.dspace-248662023-05-29T15:28:05Z Value management-based alternatives ranking approach for automated negotiation Mahmoud M.A. Ahmad M.S. Idrus A. 55247787300 56036880900 26532953200 Automation; Decision making; Information systems; Information use; Alternative ranking; Automated negotiations; Ranking approach; Value management; Multi agent systems Ranking alternatives is considered one of the main challenges in automated negotiation by multi-agent systems. Several approached have been identified by literature to mitigate the challenges of alternatives ranking, however, these approaches overlooked the importance of value management principles in modeling. Value management emphasizes on two main criteria to make a value decision which are Cost verses Functions. In this paper, Value Management-based Alternatives Ranking Approach that includes cost and function criteria in the modelling. Two main approaches are proposed by literature to optimize the ranking which are interest-based ranking and weight-based ranking. However, the two approaches produce totally two different results for a particular problem. Alternative interest-based ranking is recommended by value-management; but it creates a huge conflict among members. While, Alternative ranking based-weight is straight-forward with low or no conflict, but it is influenced by power, such influencing reduces reliability of a decision. To tackle this problem, we combine the processes of the two approaches alternative interest-based ranking and weight to make value decision and at the same time reduce the conflict among members. A scenario from construction domain is selected to test the proposed approach in ranking the alternatives based on cost and function criteria. The result shows a promising approach that could assist in making value decision, in addition, the result also shows that interest-weight-based ranking reduce the conflict between parties in comparison with interest-based ranking and weight-based ranking. � 2019 The Authors. Final 2023-05-29T07:28:05Z 2023-05-29T07:28:05Z 2019 Conference Paper 10.1016/j.procs.2019.11.163 2-s2.0-85078917858 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078917858&doi=10.1016%2fj.procs.2019.11.163&partnerID=40&md5=ea581e70f3789ce12ffbc533f47708a1 https://irepository.uniten.edu.my/handle/123456789/24866 161 607 614 All Open Access, Gold Elsevier B.V. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Automation; Decision making; Information systems; Information use; Alternative ranking; Automated negotiations; Ranking approach; Value management; Multi agent systems
author2 55247787300
author_facet 55247787300
Mahmoud M.A.
Ahmad M.S.
Idrus A.
format Conference Paper
author Mahmoud M.A.
Ahmad M.S.
Idrus A.
spellingShingle Mahmoud M.A.
Ahmad M.S.
Idrus A.
Value management-based alternatives ranking approach for automated negotiation
author_sort Mahmoud M.A.
title Value management-based alternatives ranking approach for automated negotiation
title_short Value management-based alternatives ranking approach for automated negotiation
title_full Value management-based alternatives ranking approach for automated negotiation
title_fullStr Value management-based alternatives ranking approach for automated negotiation
title_full_unstemmed Value management-based alternatives ranking approach for automated negotiation
title_sort value management-based alternatives ranking approach for automated negotiation
publisher Elsevier B.V.
publishDate 2023
_version_ 1806427655513309184
score 13.211869

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