An Agent-Based Multi-issue Negotiation Model in E-Commerce

Zhang, Xiaoxuan; Ghose, Supratip; Jo, Geun-Sik

doi:10.1007/978-3-540-37275-2_58

Cited by 3 publications

(5 citation statements)

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“…In most papers [2,4,5,6,7] , MAUT or its derived theory is applied as decision method to evaluate counterpart's offer, but there exists some deviation in practice.…”

Section: Multi-attribute Utility Theory Paradoxmentioning

confidence: 99%

“…In some relevant research, an evolutionary approach [1,2] is applied to find the best scheme in the utility space. In addition, some scholars have proposed a multi-objective negotiation model [3] by converting the multi-issue problem into multi-objective problem; some have proposed multi-stage negotiation model by dividing the multi-issue into one issue each time [4,5]; others use parallel negotiations to resolve multi-issue negotiation problem [6]. Moreover, in the paper [7], an alternative approach based on a weighted approximation technique to simplify the utility space for the multi-issue negotiation is provided, which is suitable for the issue related.…”

Section: Introductionmentioning

confidence: 99%

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An Agent-Based Multi-issue Negotiation Model

Wang

Sun

Jiang

2008

2008 the Third International Multi-Conference on Computing in the Global Information Technology (Iccgi 2008)

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Most of the current agent systems focus on single issue, such as price, whereas multi-issue negotiation is very essential to electronic commerce. In the multiissue model, MAUT (Multi-attribute Utility Theory) or its derived theory is mainly used as the evaluation method. However, the application of this theory may cause deviation. To resolve the problem, a two stage negotiation model is presented in this paper. In the first stage, the negotiation theory is used to negotiate over the most important issue or the issues combination. In the second stage we reverse auction the product each issue at one time according to the issue importance from the smallest to the most important using the adjusted auction theory.

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“…In most papers [2,4,5,6,7] , MAUT or its derived theory is applied as decision method to evaluate counterpart's offer, but there exists some deviation in practice.…”

Section: Multi-attribute Utility Theory Paradoxmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Agent-Based Multi-issue Negotiation Model

Wang

Sun

Jiang

2008

2008 the Third International Multi-Conference on Computing in the Global Information Technology (Iccgi 2008)

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“…Multi-agent system (MAS) has been studied for decades [1]. The system is applied in many areas, such as E-commerce [2], negotiation [3], and crop disease inspection [4]. According to the relationship among multiple agents in their environment, there are three situations.…”

Section: Introductionmentioning

confidence: 99%

“…Fatima et al [3] propose multi-objective negotiation model to solve the problem of ambiguous decision for multiple agents. Soon afterwards Zhang et al [2] propose that using multi-issue negotiation model to solve the problem. Consider that the weight among these agents, the authors in [5] further give weight-based multi-objective decision algorithm for multi-issue negotiation.…”

Section: Introductionmentioning

confidence: 99%

“…Consider that the weight among these agents, the authors in [5] further give weight-based multi-objective decision algorithm for multi-issue negotiation. However, models in [2] and [5] use a finite stage to make decision, regardless of the actual situation which maybe needs numerous steps. At this time, these solutions may appear deviation even appear error in the worst case.…”

Section: Introductionmentioning

confidence: 99%

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IFMOD: Intuitionistic-Based Fuzzy Multi-Objective Decision in Multi-Agent System

Wang

Zhang

2015

AMM

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Multi-agent system (MAS) contains many intelligent agents, which makes decision for many practical scenarios. However, due to complex decision environment, many data required from sensors are fuzzy. Although a lot of legend solutions address this problem, the decision making result is not very accurate. To solve the problem, we present IFMOD, an algorithm using fuzzy multi-objective decision based on interval-valued intuitionistic fuzzy set. The algorithm adopts iteration way to close the precise value. To make IFMOD algorithm effectively, MAS makes hierarchical structure to complete fuzzy decision. In MAS, most intelligent agents may process the data individually, while other higher intelligent agents make a final decision entirely. The experiment shows that, it is effective for MAS to solve the problem of fuzzy decision in distributed networks.

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JADETraderPal – JADE mobile agent embedded with flexible negotiation strategies for dynamic e-commerce environments

Haleema

Iyengar

2020

Journal of King Saud University - Computer and Information Scie

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An Agent-Based Multi-issue Negotiation Model in E-Commerce

Cited by 3 publications

References 0 publications

An Agent-Based Multi-issue Negotiation Model

An Agent-Based Multi-issue Negotiation Model

IFMOD: Intuitionistic-Based Fuzzy Multi-Objective Decision in Multi-Agent System

JADETraderPal – JADE mobile agent embedded with flexible negotiation strategies for dynamic e-commerce environments

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