Optimizing Negotiation Conflict in the Cloud Service Negotiation Framework Using Probabilistic Decision Making Model

Optimization of negotiation conflict in the cloud service negotiation framework is identified as one of the major challenging issues. This negotiation conflict occurs during the bilateral negotiation process between the participants due to the misperception, aggressive behavior, and uncertain prefer...

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Main Authors: Rajkumar Rajavel, Mala Thangarathinam
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2015/858975
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author Rajkumar Rajavel
Mala Thangarathinam
author_facet Rajkumar Rajavel
Mala Thangarathinam
author_sort Rajkumar Rajavel
collection DOAJ
description Optimization of negotiation conflict in the cloud service negotiation framework is identified as one of the major challenging issues. This negotiation conflict occurs during the bilateral negotiation process between the participants due to the misperception, aggressive behavior, and uncertain preferences and goals about their opponents. Existing research work focuses on the prerequest context of negotiation conflict optimization by grouping similar negotiation pairs using distance, binary, context-dependent, and fuzzy similarity approaches. For some extent, these approaches can maximize the success rate and minimize the communication overhead among the participants. To further optimize the success rate and communication overhead, the proposed research work introduces a novel probabilistic decision making model for optimizing the negotiation conflict in the long-term negotiation context. This decision model formulates the problem of managing different types of negotiation conflict that occurs during negotiation process as a multistage Markov decision problem. At each stage of negotiation process, the proposed decision model generates the heuristic decision based on the past negotiation state information without causing any break-off among the participants. In addition, this heuristic decision using the stochastic decision tree scenario can maximize the revenue among the participants available in the cloud service negotiation framework.
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spelling doaj-art-74e7f6450e6e41d9b4a3807ffb2c12a42025-02-03T07:25:18ZengWileyThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/858975858975Optimizing Negotiation Conflict in the Cloud Service Negotiation Framework Using Probabilistic Decision Making ModelRajkumar Rajavel0Mala Thangarathinam1Department of Information Science and Technology, Faculty of Information and Communication Engineering, Anna University, Chennai, Tamil Nadu 600025, IndiaDepartment of Information Science and Technology, Faculty of Information and Communication Engineering, Anna University, Chennai, Tamil Nadu 600025, IndiaOptimization of negotiation conflict in the cloud service negotiation framework is identified as one of the major challenging issues. This negotiation conflict occurs during the bilateral negotiation process between the participants due to the misperception, aggressive behavior, and uncertain preferences and goals about their opponents. Existing research work focuses on the prerequest context of negotiation conflict optimization by grouping similar negotiation pairs using distance, binary, context-dependent, and fuzzy similarity approaches. For some extent, these approaches can maximize the success rate and minimize the communication overhead among the participants. To further optimize the success rate and communication overhead, the proposed research work introduces a novel probabilistic decision making model for optimizing the negotiation conflict in the long-term negotiation context. This decision model formulates the problem of managing different types of negotiation conflict that occurs during negotiation process as a multistage Markov decision problem. At each stage of negotiation process, the proposed decision model generates the heuristic decision based on the past negotiation state information without causing any break-off among the participants. In addition, this heuristic decision using the stochastic decision tree scenario can maximize the revenue among the participants available in the cloud service negotiation framework.http://dx.doi.org/10.1155/2015/858975
spellingShingle Rajkumar Rajavel
Mala Thangarathinam
Optimizing Negotiation Conflict in the Cloud Service Negotiation Framework Using Probabilistic Decision Making Model
The Scientific World Journal
title Optimizing Negotiation Conflict in the Cloud Service Negotiation Framework Using Probabilistic Decision Making Model
title_full Optimizing Negotiation Conflict in the Cloud Service Negotiation Framework Using Probabilistic Decision Making Model
title_fullStr Optimizing Negotiation Conflict in the Cloud Service Negotiation Framework Using Probabilistic Decision Making Model
title_full_unstemmed Optimizing Negotiation Conflict in the Cloud Service Negotiation Framework Using Probabilistic Decision Making Model
title_short Optimizing Negotiation Conflict in the Cloud Service Negotiation Framework Using Probabilistic Decision Making Model
title_sort optimizing negotiation conflict in the cloud service negotiation framework using probabilistic decision making model
url http://dx.doi.org/10.1155/2015/858975
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AT malathangarathinam optimizingnegotiationconflictinthecloudservicenegotiationframeworkusingprobabilisticdecisionmakingmodel