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Data Processing for the AHP/ANP pp 107–127Cite as

Applications of IBMM

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Part of the book series: Quantitative Management ((QUANT,volume 1))

Abstract

The AHP and ANP are two of the widely used MCDM methods, and have been extensively applied to the real-world decision making problems. However, the inconsistency issue and missing item scores issue are still two of the major issues when AHP and ANP are used. In the previous Chapters, the IBMM is proposed to deal with the inconsistency issue, missing item scores, and rank reversal issue. In this Chapter, the IBMM is applied to two real world applications, the Task Scheduling and Resource Allocation in Cloud Computing Environment by AHP and Risk Assessment and Decision Analysis by ANP. Details are presented in Sects. 7.1 and 7.2.

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References

  • Aguilar-Lasserre AA, Bautista Bautista MA, Ponsich A, Gonzalez Huerta MA (2009) An AHP-based decision-making tool for the solution of multiproduct batch plant design problem under imprecise demand. Comput Oper Res 36(3):711–736

    Article  Google Scholar 

  • Bonano EJ, Apostolakis GE, Salter PF, Ghassemi A, Jennings S (2000) Application of risk assessment and decision analysis to the evaluation, ranking and selection of environmental remediation alternatives. J Hazard Mat 71(1–3):35–37

    Article  Google Scholar 

  • Buyya R, Chee SY, Venugopal S, Roberg J, Brandic I (2009) Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility. Fut Gener Comput Syst 25(6):599–616

    Article  Google Scholar 

  • Ergu D, Kou G, Peng Y, Shi Y (2011a) A new consistency index for comparison matrices in the ANP, New State of MCDM in the 21st Century. Lecture notes in economics and mathematical systems, vol 648, part 1, pp 47–56

    Google Scholar 

  • Ergu D, Kou G, Peng Y, Shi Y (2011b) A simple method to improve the consistency ratio of the pair-wise comparison matrix in ANP. Eur J Oper Res 213(1):246–259. doi:10.1016/j.ejor.2011.03.014

    Article  Google Scholar 

  • Ergu D, Kou G, Peng Y, Shi Y, Shi Yu (2011d) The analytic hierarchy process: task scheduling and resource allocation in cloud computing environment. J Supercomput. doi:10.1007/s11227-011-0625-1

  • Ergu D, Kou G, Shi Y, Shi Yu (2011e) Analytic network process in risk assessment and decision analysis. Comput Oper Res. doi:10.1016/j.cor.2011.03.005

  • Fang YQ, Wang F, Ge JW (2010) Task scheduling algorithm based on load balancing in cloud computing. In: Web information systems and mining lecture notes in computer science, 2010, vol 6318/2010, pp 271–277, doi: 10.1007/978-3-642-16515-3_34

    Google Scholar 

  • Fujiwara I, Aida K, Ono I (2009) Market-based resource allocation for distributed computing. IPSJ SIG technical report, vol 2009-HPC-121, no. 34,http://www.alab.ip.titech.ac.jp/papers/swopp2009-fujiwara.pdf

  • Hämäläinen RP, Lindstedt MRK, Sinkko K (2000) Multiattribute risk analysis in nuclear emergency management. Risk Anal 20:455–468. doi:10.1111/0272-4332.204044

    Article  Google Scholar 

  • Hayes B (2008) Cloud computing. Commun ACM 51(7):9–11

    Article  Google Scholar 

  • Hu G, Rao K, Sun Z (2007) Identification of a detailed function list for public health emergency management using three qualitative methods. Chin Med J 120(21):1908–1913

    Google Scholar 

  • Huang YF, Chao BW (2001) A priority-based resource allocation strategy in distributed computing networks. J Syst Software 58(3):221–233

    Article  Google Scholar 

  • Ismail L, Mills B, Hennebelle A (2008) A formal model of dynamic resource allocation in grid computing environment.http://www.irml.uaeu.ac.ae/hpgcl/images/Publications/snpd2008.pdf.

  • Khadam IM, Kaluarachchi JJ (2003) Multi-criteria decision analysis with probabilistic risk assessment for the management of contaminated ground water. Environ Impact Assess Rev 23(6):683–721

    Article  Google Scholar 

  • Koole G, Righter R (2007) Resource allocation in grid computing. J Schedul. doi:10.1007/s10951-007-0018-8

  • Krewski D, Andersen ME, Mantus E, Zeise L (2009) Reply to invited commentaries on toxicity testing in the 21st century: implications for human health risk assessment. Risk Anal 29:492–497. doi:10.1111/j.1539-6924.2009.01218.x

    Article  Google Scholar 

  • Linkov I, Satterstrom FK, Kiker G, Batchelor C, Bridges T, Ferguson E (2006) From comparative risk assessment to multi-criteria decision analysis and adaptive management: recent developments and applications. Environ Int 32(8):1072–1093

    Article  Google Scholar 

  • Moschakis I, Karatza H (2010) Evaluation of gang scheduling performance and cost in a cloud computing system. J Supercomput 59(2):975–992. doi:10.1007/s11227-010-0481-4

    Article  Google Scholar 

  • Peng Y, Kou G, Shi Y, Chen Z (2008) A descriptive framework for the field of data mining and knowledge discovery. Int J Inf Technol Decis Mak 7(4):639–682

    Article  Google Scholar 

  • Peng Y, Kou G, Wang G, Wu W, Shi Y (2011a) Ensemble of software defect predictors: an AHP-based evaluation method. Int J Inf Technol Decis Mak 10(1):187–206

    Article  Google Scholar 

  • Peng Y, Wang G, Kou G, Shi Y (2011b) An empirical performance metric for classification algorithm selection in financial risk management. Appl Soft Comput 11(2):2906–2915

    Article  Google Scholar 

  • Peng Y, Kou G, Wang G, Shi Y (2011c) FAMCDM: a fusion approach of MCDM methods to rank multiclass classification algorithms. Omega. doi:10.1016/j.omega.2011.01.009

  • Reckhow KH (1994) Water quality simulation modeling and uncertainty analysis for risk assessment and decision making. Ecol Model 72(1–2):1–20

    Article  Google Scholar 

  • Saaty TL (1990) How to make a decision: the analytic hierarchy process. Eur J Oper Res 48(1):9–26

    Article  Google Scholar 

  • Saaty TL (1993) The analytic hierarchy process: a 1993 overview. In: The international workshop on multicriteria decision making. Methods, Algorithms, Applications, Celákovice

    Google Scholar 

  • Saaty TL (2008) The analytic network process. Iran J Oper Res 1(1):1–27

    Google Scholar 

  • Saaty TL, Zoffer HJ (2011) Negotiating the Israeli-Palestinian controversy from a new perspective. Int J Inf Technol Decis Mak 10(1):5–64

    Article  Google Scholar 

  • Triantaphyllou E, Mann SH (1995) Using the analytic hierarchy process for decision making in engineering applications: Some challenges. Int J Ind Eng Appl Pract 2(1):35–44

    Google Scholar 

  • Wagner MR, Bhadury J, Peng S (2009) Risk management in uncapacitated facility location models with random demands. Comput Oper Res 36(4):1002–1011

    Article  Google Scholar 

  • Wei G, Vasilakos AV, Zheng Y, Xiong N (2009) A game-theoretic method of fair resource allocation for cloud computing services. J Supercomput 54(2):252–269. doi:10.1007/s11227-009-0318-1

    Article  Google Scholar 

  • Wijnmalen DJD (2007) Analysis of benefits, opportunities, costs, and risks (BOCR) with the AHP-ANP: a critical validation. Math Comput Model 46(7–8):892–905

    Article  Google Scholar 

  • Yaz\( \i \)r YO, Matthews C, Farahbod R, Neville S, Guitouni A, Ganti S, Coady Y (2010) Dynamic resource allocation in computing clouds through distributed multiple criteria decision analysis. In: IEEE 3rd international conference on Cloud Computing, 5–10 July, pp 91–98

    Google Scholar 

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Authors and Affiliations

  1. School of Management and Economics, University of Electronic Science and Technology of China, North Jianshe Road, Chengdu, China, People’s Republic

    Professor Gang Kou & Yi Peng

  2. College of Electrical and Information Engineering, Southwest University for Nationalities, Yihuan Road, Chengdu, China, People’s Republic

    Daji Ergu

  3. University of Nebraska at Omaha IS&T, Dodge Street, Omaha, Nebraska, USA

    Professor Yong Shi

Authors
  1. Professor Gang Kou
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  2. Daji Ergu
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  3. Yi Peng
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  4. Professor Yong Shi
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Kou, G., Ergu, D., Peng, Y., Shi, Y. (2013). Applications of IBMM. In: Data Processing for the AHP/ANP. Quantitative Management, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29213-2_7

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