Skip to main content
SpringerLink
Log in

Fuzzy Complex Assessment of Activities of the Agent in Multi-Agent System

  • Conference paper
  • First Online:
Advances in Artificial Systems for Medicine and Education (AIMEE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 658))

Abstract

In article the technique of an fuzzy complex assessment of the agent in multi-agent system from a line item of efficiency of his activities is considered. It is set that overall performance of the agent depends on three principal components: level of professional competence of the agent, his personal qualities and emotional background. In a technique the approach integrating both expert estimates, and the actual data about results of operation of the agent in system is applied. The system of the indices which are best characterizing separate aspects of activity of the agent in multi-agent system is offered. At the same time the key characteristic is the level of his professional competence. The fuzzy complex assessment of activities of the agent in system gives the chance to reveal more and less effective agents that is important for further acceptance of administrative decisions.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Mohammed Mekidiche, Mostefa Belmokaddem, “Application of Weighted Additive Fuzzy Goal Programming Approach to Quality Control System Design”, IJISA, vol. 4, no. 11, pp. 14 – 23, 2012. DOI: 10.5815/ijisa.2012.11.02.

  2. Haiying Ren, Siwei Li, “A Heterogeneous Agent-based Asset Pricing Model and Simulation”, IJEM, vol. 2, no. 4, pp. 9 – 18, 2012. DOI: 10.5815/ijem.2012.04.02.

  3. E.V. Krishnamurthy, “Agent-based Models in Synthetic Biology: Tools for Simulation and Prospects”, IJISA, vol.4, no.2, pp. 58 − 65, 2012. DOI: 10.5815/ijisa.2012.02.07.

  4. Mohammed Abbas Kadhim, M. Afshar Alam, Harleen Kaur,”A Multi-intelligent Agent System for Automatic Construction of Rule-based Expert System”, Interna tional Journal of Intelligent Systems and Applications(IJISA), Vol.8, No.9, pp.62-68, 2016. DOI: 10.5815/ijisa.2016.09.08

  5. Purba D. Kusuma, Azhari, Reza Pulungan,”Agent-Based Buyer-Trader Interaction Model of Traditional Markets”, International Journal of Intelligent Systems and Applications(IJISA), Vol.8, No.11, pp.1-8, 2016. DOI: 10.5815/ijisa.2016.11.01

  6. Satyendra Singh Chouhan,Rajdeep Niyogi, “An Analysis of the Effect of Communication for Multi-agent Planning in a Grid World Domain”, IJISA, vol. 4, no. 5, pp. 8 – 15, 2012. DOI: 10.5815/ijisa.2012.05.02.

  7. M. Wooldridge, An Introduction to MultiAgent Systems, Chichester: John Wiley & Sons Ltd, 2002. ISBN 0-471-49691-x.

    Google Scholar 

  8. Burkov, V.N. Theory of the active systems and enhancement of an economic mechanism / V.N. Burkov, V.V. Kondratyev, V.V. Tsyganov, A.M. Cherkashin. M.: Science, 1984. 272 p.

    Google Scholar 

  9. Burkov, V.N. How to control the organizations / V.N. Burkov, D.A. Novikov. Moscow: “Sinteg”, 2003. 400 p.

    Google Scholar 

  10. Mutovkina, N.Yu. Methods of the coordinated optimization of modernization of the industrial enterprises: the dissertation for a degree of Candidate of Technical Sciences; specialties 05.13.01, 05.13.10. – Tver: TvGTU, 2009. 219 p.

    Google Scholar 

  11. Hodashinsky, I.A. Methods of soft estimation of values: monograph / I.A. Hodashinsky. Tomsk: Tomsk state university of management systems and electronics, 2007. 152 p.

    Google Scholar 

  12. Mutovkina, N.Yu. Behavioral models of intellectual agents in the course of information exchange / N.Yu. Mutovkina, V.N. Kuznetsov, A.Yu. Klyushin // Management systems and information technologies. 2013. No. 1.1 (51), pp. 178 – 183.

    Google Scholar 

  13. Saati, T. Decision-making. Method of the analysis of hierarchies / T. Saati. M.: Radio and communication, 1993. 278 p.

    Google Scholar 

  14. Fishburn, P. The theory of usefulness for decision-making / P. Fishburn. M.: Science, 1978. 352 p.

    Google Scholar 

  15. Mousumi Mitra, Atanu Das, “A Fuzzy Logic Approach to Assess Web Learner’s Joint Skills”, IJMECS, vol. 7, no. 9, pp. 14 – 21, 2015. DOI: 10.5815/ijmecs.2015.09.02.

Download references

Author information

Authors and Affiliations

  1. Tver State Technical University, Tver, Russia

    N. Yu. Mutovkina

Authors
  1. N. Yu. Mutovkina
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to N. Yu. Mutovkina .

Editor information

Editors and Affiliations

  1. School of Educational Information Technology, Central China Normal University, Wuhan, China

    Zhengbing Hu

  2. Mechanical Engineering Research Institute, Russian Academy of Sciences , Moscow, Russia

    Sergey Petoukhov

  3. Halmos College of Natural Sciences and Oceanography, Nova Southeastern University, Fort Lauderdale, Florida, USA

    Matthew He

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Mutovkina, N.Y. (2018). Fuzzy Complex Assessment of Activities of the Agent in Multi-Agent System. In: Hu, Z., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Medicine and Education. AIMEE 2017. Advances in Intelligent Systems and Computing, vol 658. Springer, Cham. https://doi.org/10.1007/978-3-319-67349-3_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-67349-3_29

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67348-6

  • Online ISBN: 978-3-319-67349-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation