Intelligent Fuzzy Agent Meeting Scheduling Decision Support System

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An intelligent fuzzy agent for meeting scheduling decision ...

    https://www.sciencedirect.com/science/article/pii/S016501140300201X
    Mar 16, 2004 · An Intelligent Fuzzy Agent for Meeting Scheduling Decision Support System is proposed in this paper. The proposed Intelligent Fuzzy Agent including Meeting Negotiation Agent , Fuzzy Inference Agent and Genetic Learning Agent can search and decide the suitable meeting time for the specified meeting in an organization.Cited by: 93

An intelligent fuzzy agent for meeting scheduling decision ...

    https://www.researchgate.net/publication/223776713_An_intelligent_fuzzy_agent_for_meeting_scheduling_decision_support_system
    An Intelligent Fuzzy Agent for Meeting Scheduling Decision Support System is proposed in this paper. The proposed Intelligent Fuzzy Agent including Meeting Negotiation Agent, Fuzzy Inference Agent and Genetic Learning Agent can search and decide the suitable meeting time for the specified meeting in an organization.

An intelligent fuzzy meeting agent for decision support ...

    https://ieeexplore.ieee.org/document/1206583/
    An intelligent fuzzy meeting agent for decision support system Abstract: An intelligent fuzzy meeting agent (IFMA) for a meeting scheduling support system (MS3) is proposed in this paper. IFMA can search and decide the suitable meeting time for the specified meeting in an organization.Cited by: 3

An intelligent fuzzy meeting agent for decision support ...

    https://www.researchgate.net/publication/4019508_An_intelligent_fuzzy_meeting_agent_for_decision_support_system
    An intelligent fuzzy meeting agent (IFMA) for a meeting scheduling support system (MS3) is proposed in this paper. IFMA can search and decide the suitable meeting time for the specified meeting …

A genetic fuzzy agent using ontology model for meeting ...

    https://www.sciencedirect.com/science/article/pii/S002002550500229X
    A Genetic Fuzzy Agent (GFA) using the ontology model for Meeting Scheduling System (MSS) is presented in this paper. The ontology model includes the Fuzzy Meeting Scheduling Ontology (FMSO) and the Fuzzy Personal Ontology (FPO) that can support to construct the knowledge base of the GFA.Cited by: 86

IS 290 Chapter 11 Quizzes Flashcards Quizlet

    https://quizlet.com/397495437/is-290-chapter-11-quizzes-flash-cards/
    A. Management information systems and decision support systems ... D. Fuzzy logic systems E. Intelligent agents. A. ... A. allow meeting attendees to share their thoughts in real time with their peers. B. manage knowledge using a global perspective.

Ontology-based Fuzzy Decision Agent and Its ... - SpringerLink

    https://link.springer.com/chapter/10.1007/11011620_17
    Aug 22, 2005 · A Fuzzy Decision Agent (FDA) based on personal ontology for Meeting Scheduling Support System (MSSS) is proposed in this chapter. In this system, when an organization member requests a meeting, the FDA can immediately send a meeting request with required information to MSSS and Fuzzy Inference Engine (FIE) .

Ontology-based intelligent decision support agent for CMMI ...

    https://www.sciencedirect.com/science/article/pii/S0888613X07000783
    This paper presents an ontology-based intelligent decision support agent (OIDSA) to apply to project monitoring and control of capability maturity model integration (CMMI). The OIDSA is composed of a natural language processing agent, a fuzzy inference agent, and a performance decision support agent.Cited by: 117

A Genetic Fuzzy Agent using ontology model for Meeting ...

    https://www.researchgate.net/publication/222861259_A_Genetic_Fuzzy_Agent_using_ontology_model_for_Meeting_Scheduling_System
    A Genetic Fuzzy Agent (GFA) using the ontology model for Meeting Scheduling System (MSS) is presented in this paper.

MIS: Expert Systems Flashcards Quizlet

    https://quizlet.com/72172535/mis-expert-systems-flash-cards/
    robotics, natural interfaces, fuzzy logic, virtual reality/augmented reality, intelligent agents, expert systems, watson in jeopardy Intelligent agents Software programs that work in the background without direct human interaction to carry out specific, repetitive, and predictable tasks for an individual user, business process or software ...

An intelligent fuzzy agent for meeting scheduling decision ...

    https://www.sciencedirect.com/science/article/pii/S016501140300201X
    Mar 16, 2004 · An Intelligent Fuzzy Agent for Meeting Scheduling Decision Support System is proposed in this paper. The proposed Intelligent Fuzzy Agent including Meeting Negotiation Agent, Fuzzy Inference Agent and Genetic Learning Agent can search and decide the suitable meeting time for the specified meeting in an organization. When a meeting host requests a meeting, the Meeting Negotiation Agent ...Cited by: 93

An intelligent fuzzy agent for meeting scheduling decision ...

    https://www.researchgate.net/publication/223776713_An_intelligent_fuzzy_agent_for_meeting_scheduling_decision_support_system
    An Intelligent Fuzzy Agent for Meeting Scheduling Decision Support System is proposed in this paper. The proposed Intelligent Fuzzy Agent including Meeting Negotiation Agent, Fuzzy Inference Agent ...

An intelligent fuzzy meeting agent for decision support ...

    https://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1206583
    Abstract: An intelligent fuzzy meeting agent (IFMA) for a meeting scheduling support system (MS3) is proposed in this paper. IFMA can search and decide the suitable meeting time for the specified meeting in an organization. When a meeting host requests a meeting, Meeting Negotiation Agent (MNA) immediately sends the invitees' names to MS3 for retrieving their schedules from Group Calendar …Cited by: 3

A genetic fuzzy agent using ontology model for meeting ...

    https://www.sciencedirect.com/science/article/pii/S002002550500229X
    4. Genetic fuzzy agent based on the ontology model. In , we have presented an intelligent fuzzy agent for meeting scheduling decision support system.In this paper, we will extend the agent by embedding the ontology model in the Meeting Scheduling System, and the extended agent will make the knowledge more easily to share with other agents.Cited by: 86

An intelligent fuzzy meeting agent for decision support ...

    https://www.researchgate.net/publication/4019508_An_intelligent_fuzzy_meeting_agent_for_decision_support_system
    An intelligent fuzzy meeting agent (IFMA) for a meeting scheduling support system (MS3) is proposed in this paper. IFMA can search and decide the suitable meeting time for the specified meeting in ...

A Type-2 FML-Based Meeting Scheduling Support System ...

    https://link.springer.com/chapter/10.1007/978-3-642-35488-5_10
    To minimize the time and effort required for this scheduling process, this chapter introduces a novel type-2 FML-based personal ontology, a type-2 meeting scheduling ontology, and a decision supported system. The Fuzzy markup language (FML) is also used to describe the knowledge base and rule base of the proposed meeting scheduling system, and ...Cited by: 1

A Fuzzy Negotiation Model with Genetic Algorithms ...

    https://link.springer.com/chapter/10.1007/978-0-387-75466-6_5
    The fuzzy negotiation model with genetic algorithms is more practical than the traditional negotiation model. ... An Intelligent Fuzzy Agent for Meeting Scheduling Decision Support System. Fuzzy Sets and Systems 142, 2004, ...Cited by: 4

A genetic fuzzy agent using ontology model for meeting ...

    https://dl.acm.org/doi/10.1016/j.ins.2005.07.012
    A Genetic Fuzzy Agent (GFA) using the ontology model for Meeting Scheduling System (MSS) is presented in this paper. The ontology model includes the Fuzzy Meeting Scheduling Ontology (FMSO) and the Fuzzy Personal Ontology (FPO) that can support to construct the knowledge base of the GFA.

Agent-based decision support system for dynamic scheduling ...

    https://dl.acm.org/citation.cfm?id=1389536
    Agent-based decision support system for dynamic scheduling of a flexible manufacturing systemCited by: 10



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