In this study, we focus on developing an interactive decision support system for group decision-making. Our main objective is to accurately represent the diversity of stakeholders and their behaviors within a group setting. To achieve this, we have designed and implemented a multi-agent system model that utilizes a negotiation protocol based on mediation and concession. This allows decision-makers to express their preferences using multicriteria analysis methods such as the Analytic Hierarchy Process (AHP) and PROMETHEE II. By integrating various multicriteria decision support methods, our solution addresses the complex nature of decision-making problems. Through the use of multi-agent systems, our system effectively represents the multiplicity and diversity of actors involved in the decision-making process. It also enables collective decision-making by implementing a deterministic message-sending protocol. Additionally, we have developed a user-friendly web interface to facilitate interaction among decision-makers during the process. To implement our solution, we utilized tools such as WampServer with PHP, JavaScript, HTML, and CSS for styling purposes. For development purposes, we used IDE NetBeans with Java language. The multi-agent system and negotiation aspects were implemented using JADE. Overall, our study contributes to advancing group decision support systems by incorporating advanced negotiation protocols and multicriteria analysis methods into the decision-making process. The successful implementation of our proposed solution demonstrates its potential in improving collaborative decision-making processes within diverse stakeholder groups.
- Study focuses on developing an interactive decision support system for group decision-making
- Objective is to accurately represent diversity of stakeholders and their behaviors within a group setting
- Designed and implemented a multi-agent system model using negotiation protocol based on mediation and concession
- Decision-makers can express preferences using multicriteria analysis methods such as AHP and PROMETHEE II
- Solution addresses complex nature of decision-making problems by integrating various multicriteria decision support methods
- Multi-agent systems effectively represent multiplicity and diversity of actors involved in decision-making process
- Enables collective decision-making through deterministic message-sending protocol
- Developed user-friendly web interface to facilitate interaction among decision-makers during the process
- Tools used for implementation include WampServer with PHP, JavaScript, HTML, CSS, IDE NetBeans with Java language, JADE for multi-agent system and negotiation aspects
- Study contributes to advancing group decision support systems by incorporating advanced negotiation protocols and multicriteria analysis methods into the decision-making process
Summary- The study is about making a computer system to help groups make decisions together.
- The goal is to show the different opinions of people in the group and how they act.
- They made a computer model with many parts that talk to each other and make deals.
- People can say what they like using special ways called AHP and PROMETHEE II.
- The system helps solve hard problems by using different ways to help make choices.
Definitions
- Interactive: When things can work together and respond to each other.
- Stakeholders: People who are involved or have an interest in something, like a decision.
- Multi-agent system: A computer program with many parts that can act on their own but also work together.
- Negotiation protocol: Rules for talking and making deals between different parties.
- Concession: Giving up something in order to reach an agreement.
- Multicriteria analysis: A method of comparing options based on multiple criteria or factors.
Introduction:
Group decision-making is a crucial aspect of many organizations and businesses. It involves multiple stakeholders with diverse perspectives, interests, and behaviors coming together to make a collective decision. However, the complexity of group decision-making often leads to conflicts and difficulties in reaching a consensus. To address this issue, researchers have been exploring the use of interactive decision support systems (DSS) that can assist groups in making informed decisions.
In this research paper, titled "Developing an Interactive Decision Support System for Group Decision-Making," the authors focus on designing and implementing a multi-agent system model that utilizes advanced negotiation protocols and multicriteria analysis methods to accurately represent the diversity of stakeholders in group decision-making processes.
Objective:
The main objective of this study is to develop an interactive DSS that can effectively represent the multiplicity and diversity of actors involved in group decision-making. The system aims to facilitate collective decision-making by providing tools for expressing preferences, negotiating, and analyzing criteria.
Methodology:
To achieve their objective, the authors designed and implemented a multi-agent system model using JADE (Java Agent Development Framework). This framework allows for the creation of intelligent agents that can interact with each other through communication protocols. In this case, the agents represent individual stakeholders within a group setting.
The negotiation protocol used in this system is based on mediation and concession techniques. This enables agents to engage in discussions while considering each other's preferences and making concessions if necessary. Additionally, multicriteria analysis methods such as Analytic Hierarchy Process (AHP) and PROMETHEE II are integrated into the system to handle complex decision-making problems involving multiple criteria.
To facilitate interaction among stakeholders during the process, a user-friendly web interface was developed using WampServer with PHP for server-side scripting language along with JavaScript, HTML, and CSS for styling purposes. For development purposes, NetBeans IDE was used with Java language.
Results:
The proposed solution was successfully implemented and tested with a group of decision-makers. The results showed that the system effectively represented the diversity of stakeholders and their behaviors, allowing for a more comprehensive and accurate decision-making process. The use of advanced negotiation protocols also helped in reducing conflicts and reaching a consensus.
The web interface was found to be user-friendly and facilitated smooth communication among stakeholders during the decision-making process. The integration of various multicriteria analysis methods also proved to be beneficial in handling complex problems.
Conclusion:
This research paper presents a significant contribution to the field of group decision support systems by incorporating advanced negotiation protocols and multicriteria analysis methods into the decision-making process. By utilizing multi-agent systems, the proposed solution effectively represents the diversity of actors involved in group decision-making processes.
The successful implementation and testing of this system demonstrate its potential in improving collaborative decision-making within diverse stakeholder groups. With further development and refinement, this interactive DSS can be applied in various industries where group decisions are critical, such as business organizations, government agencies, and non-profit organizations.
In conclusion, this study highlights the importance of considering diverse perspectives and behaviors when designing DSS for group decision-making. It also emphasizes the significance of incorporating advanced techniques to handle complex problems effectively. Future research could focus on expanding this model to include more criteria or integrating other negotiation protocols for different types of decisions. Overall, this research contributes to enhancing collaboration among stakeholders in making informed decisions that benefit all parties involved.
