Skip to main content

A New Consistency Index for Comparison Matrices in the ANP

  • Conference paper
  • First Online:
  • 949 Accesses

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 648))

Abstract

The inconsistency test is more difficult in the analytical network process (ANP) than in the analytical hierarchy process (AHP) because there are more comparison matrices in the ANP. The consistency ratio (CR) introduced by Saaty for the AHP is used for inconsistency test in the ANP. When the number of comparison matrices increases, the inconsistency test of comparison matrices in the ANP becomes complicated. In an attempt to simplify the inconsistency test, this paper proposes a maximum eigenvalue threshold as the consistency index for ANP, which is mathematically equivalent to the CR method. In addition, a block diagonal matrix is introduced for the comparison matrices in the ANP to conduct inconsistency tests simultaneously for all comparison matrices. An illustrative example is used to show the effectiveness and the simplicity of the proposed maximum eigenvalue threshold method.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

References

  • Aktar D.E. and Ustun O (2009). Analytic network process and multi-period goal programming integration in purchasing decisions. Computers and Industrial Engineering, 56(2), pp.677–690.

    Article  Google Scholar 

  • Bayazit O. and Karpak B. (2007) An analytical network process-based framework for successful total quality management (TQM): An assessment of Turkish manufacturing industry readiness. International Journal of Production Economics, 105(1), pp.79–96.

    Article  Google Scholar 

  • Caballero-Luque, A., Aragonés-Beltrán, P., García-Melón, M., and Dema-Pérezc, (2010). Analysis Of The Alignment Of Company Goals To Web Content Using ANP, Int. J. Inform. Technol. Decision Making, 9(3), 419–436.

    Google Scholar 

  • Chung S.H., Lee A.H.I. and Pearn W.L. (2005). Analytic network process (ANP) approach for product mix planning in semiconductor fabricator. International Journal of Production Economics, 96(1), pp.15–36.

    Article  Google Scholar 

  • Dagdeviren M., Yuksel I. and Kurt M. (2008). A fuzzy analytic network process (ANP) model to identify faulty behavior risk (FBR) in work system. Safety Science, 46(5), pp.771–783.

    Article  Google Scholar 

  • Ergu G., Kou, G., Peng, Y., and Shi, Y. (2011a). A Simple Method to Improve the Consistency Ratio of the Pair-wise Comparison Matrix in ANP, DOI:10.1016/j.ejor.2011.03.014, European Journal of Operational Research, 213(1), 246–259.

    Article  Google Scholar 

  • Ergu G., Kou, G., Shi, Y. and Shi, Y. (2011b). Analytic Network Process in Risk Assessment and Decision Analysis, DOI: 10.1016/j.cor.2011.03.005, Computers & Operations Research

    Google Scholar 

  • Ergu G., Kou, G., Peng, Y., Shi, Y. and Shi, Y. (2011c). The Analytic Hierarchy Process: Task Scheduling and Resource Allocation in Cloud Computing Environment, DOI: 10.1007/s11227-011-0625-1, The Journal of Supercomputing

    Google Scholar 

  • Despotis, D.K., and Derpanis, D., (2008) A Min–Max Goal Programming Approach To Priority Derivation In Ahp With Interval Judgements, Int. J. Inform. Technol. Decision Making, 7(1), 175–182.

    Article  Google Scholar 

  • Karsak E.E., Sozer S., and Alptekin S. Emre (2003). Product planning in quality function deployment using a combined analytic network process and goal programming approach. Computers and Industrial Engineering, 44(1), pp.171–190.

    Article  Google Scholar 

  • Kahraman C., Ertay T., and Buyukozkan G (2006). A fuzzy optimization model for QFD planning process using analytic network approach. European Journal of Operational Research, 171(2), pp.390–411.

    Article  Google Scholar 

  • Lee J.W. and Kim S.H. (2000). Using analytic network process and goal programming for interdependent information system project selection. Computers and Operations Research, 27(4), pp.367–382.

    Article  Google Scholar 

  • Meade, L.A., and Presley, A. (2002). R&D project selection using ANP…the analytic network process. IEEE, volume 21, Issue 2, pp: 22–28.

    Google Scholar 

  • Niemira M.P., and Saaty T.L. (2004). An Analytic Network Process model for financial-crisis forecasting. International Journal of Forecasting, 20(4), pp.573–587.

    Article  Google Scholar 

  • Peng, Y., Kou, G., Shi, Y. and Chen, Z. (2008). A Descriptive Framework for the Field of Data Mining and Knowledge Discovery, International Journal of Information Technology & Decision Making, 7(4), 639–682.

    Article  Google Scholar 

  • Peng, Y., Kou, G., Wang, G., Wu, W. and Shi, Y. (2011). Ensemble of software defect predictors: an AHP-based evaluation method, DOI: 10.1142/S0219622011004282, International Journal of Information Technology & Decision Making, 10(1), 187–206.

    Google Scholar 

  • Saaty, T.L. (1991) Some mathematical concepts of the analytic hierarchy process. Behaviormetrika. No. 29. 1–9.

    Google Scholar 

  • Saaty, T.L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. Pittsburgh, Pennsylvania: RWS Publications. ISBN 0–9620317–9–8.

    Google Scholar 

  • Saaty, T.L. (1999). Fundamentals of the analytic network process. ISAHP 1999, Kobe, Japan, August 12–14.

    Google Scholar 

  • Saaty, T.L. (2001). Decision Making with the Analytic Network Process (ANP) and Its “Super Decisions” Software: The National Missile Defense (NMD) Example,” ISAHP 2001 Proceedings, Bern, Switzerland, August, 2–4.

    Google Scholar 

  • Saaty, T.L. (2003). Theory of the Analytic Hierarchy and Analytic network process- Examples Part 2.2, The International Journal of Systems Research and Information Technologies, 2.

    Google Scholar 

  • Saaty, T.L. (2004). Fundamentals of the Analytic Network Process: Dependence and Feedback in Decision-Making with a Single Network, Journal of Systems Science and Systems Engineering, published at Tsinghua University, Beijing, Vol. 13, No. 2, pp. 129–157.

    Google Scholar 

  • Saaty, T.L. (2005). Theory and Applications of the Analytic Network Process: Decision Making with Benefits, Opportunities, Costs and Risks. Pittsburgh, Pennsylvania: RWS Publications. ISBN 1–888603–06–2.

    Google Scholar 

  • Saaty, T.L. (2006). Rank from Comparisons and from Ratings in the Analytic Hierarchy/Network Processes, European Journal of Operational Research, 168, pp. 557–570.

    Article  Google Scholar 

  • Saaty, T.L. (2008). The Analytic Network Process, Iranian Journal of Operations Research, Vol.1, No.1, pp.1–27.

    Google Scholar 

  • Saaty, T. L., Zoffer, H.J., (2011) Negotiating the Israeli-Palestinian Controversy from a new perspective, in press, Int. J. Inform. Technol. Decision Making, 10(1), Jan 2011.

    Google Scholar 

  • Triantaphyllou, E. and Mann, S.H. (1995). Using the analytic hierarchy process for decision making in engineering applications: Some challenges. Inter’l Journal of Industrial Engineering: Applications and Practice, Vol. 2, No. 1, pp. 35–44, 1995.

    Google Scholar 

Download references

Acknowledgements

This research has been supported by grants from the National Natural Science Foundation of China (#70901011, #70901015, and # 70921061).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yi Peng .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ergu, D., Kou, G., Peng, Y., Shi, Y. (2011). A New Consistency Index for Comparison Matrices in the ANP. In: Shi, Y., Wang, S., Kou, G., Wallenius, J. (eds) New State of MCDM in the 21st Century. Lecture Notes in Economics and Mathematical Systems, vol 648. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19695-9_4

Download citation

Publish with us

Policies and ethics