A multi agent method for cell formation with uncertain situation, based on information theory

نویسندگان

  • A Makui Associate Professor, Dept. of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
  • N Javid M.Sc., Dept. of Industrial Engineering, Tehran South Branch, Islamic Azad University, Tehran, Iran
چکیده مقاله:

This paper assumes the cell formation problem as a distributed decision network. It proposes an approach based on application and extension of information theory concepts, in order to analyze informational complexity in an agent- based system, due to interdependence between agents. Based on this approach, new quantitative concepts and definitions are proposed in order to measure the amount of the information in an agent, based on Shannon entropy and its complement in possibility theory, U uncertainty. The paper presents an agent-based model of production system as a graph composed of decision centers. The application of the proposed approach is in analyzing and assessing a measure to the production system structure efficiency, based on informational communication view. Information flow in cells and grouping algorithm are investigated in this paper.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

a multi agent method for cell formation with uncertain situation, based on information theory

this paper assumes the cell formation problem as a distributed decision network. it proposes an approach based on application and extension of information theory concepts, in order to analyze informational complexity in an agent- based system, due to interdependence between agents. based on this approach, new quantitative concepts and definitions are proposed in order to measure the amount of t...

متن کامل

A New Multi-Objective Model for Dynamic Cell Formation Problem with Fuzzy Parameters

This paper proposes a comprehensive, multi-objective, mixed-integer, nonlinear programming (MINLP) model for a cell formation problem (CFP) under fuzzy and dynamic conditions aiming at: (1) minimizing the total cost which consists of the costs of intercellular movements and subcontracting parts as well as the cost of purchasing, operation, maintenance and reconfiguration of machines, (2) maximi...

متن کامل

Adaptive Distributed Consensus Control for a Class of Heterogeneous and Uncertain Nonlinear Multi-Agent Systems

This paper has been devoted to the design of a distributed consensus control for a class of uncertain nonlinear multi-agent systems in the strict-feedback form. The communication between the agents has been described by a directed graph. Radial-basis function neural networks have been used for the approximation of the uncertain and heterogeneous dynamics of the followers as well as the effect o...

متن کامل

Fuzzy multi-criteria decision making method based on fuzzy structured element with incomplete weight information

The fuzzy structured element (FSE) theory is a very useful toolfor dealing with fuzzy multi-criteria decision making (MCDM)problems by transforming the criterion value vectors of eachalternative into the corresponding criterion function vectors. Inthis paper, some concepts related to function vectors are firstdefined, such as the inner product of two function vectors, thecosine of the included ...

متن کامل

Information Fusion With Subject-Based Information Gathering Method for Intelligent Multi-Agent Models

This paper addresses the problem of information fusion using a multi-agent information gathering system. We present a hierarchical subject-based query expansion method, followed by a cooperative fusion algorithm for unstructured documents. We evaluate the performance using the traditional methods of precision and recall. The results show that the subject-based fusion method is promising and eff...

متن کامل

Regret-Based Multi-Agent Coordination with Uncertain Task Rewards

Many multi-agent coordination problems can be represented as DCOPs. Motivated by task allocation in disaster response, we extend standard DCOP models to consider uncertain task rewards where the outcome of completing a task depends on its current state, which is randomly drawn from unknown distributions. The goal of solving this problem is to find a solution for all agents that minimizes the ov...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ذخیره در منابع من قبلا به منابع من ذحیره شده

{@ msg_add @}


عنوان ژورنال

دوره 7  شماره 14

صفحات  53- 60

تاریخ انتشار 2011-06-01

با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023