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Bi-Level Decision Making in Ra-Fu Phenomenon

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Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 688))

Abstract

In the real-life world, there are two kinds of common uncertainties, i.e., randomness and fuzziness. Accordingly, two efficient theories, probability theory and possibility theory are developed to handle them. For the possibility theory, readers may refer to Dubois and Prade (Possibility theory: an approach to computerized processing of uncertainty. Plenum Press, New York, 1988), Dubois and Prade (Possibility theory: qualitative and quantitative aspects. In: Quantified representation of uncertainty and imprecision. Springer, Berlin/New York, pp 169–226, 1998), and Zadeh (Fuzzy Sets Syst 1(1):3–28, 1978). In some decision problems such as supply chain network problems (Xu et al., Inf Sci 178(8):2022–2043, 2008), inventory problems (Xu and Liu, Inf Sci 178(14):2899–2914, 2008), portfolio selection problems (Li and Xu, Omega 37(2):439–449, 2009), the mixture of randomness and fuzziness is required to be considered simultaneously. From a viewpoint of ambiguity and randomness different from fuzzy random variables (Krätschmer V, Fuzzy Sets Syst 123(1):1–9, 2001; Kruse and Meyer, Statistics with vague data. Springer, Dordrecht, 1987; Kwakernaak, Inf Sci 15(1):1–29, 1978; Puri and Ralescu, J Math Anal Appl 114(2):409–422, 1986), by considering the experts’ ambiguous understanding of means and variances of random variables, a concept of random fuzzy variables is proposed. In this chapter, we consider the construction site security planning (CSSP) problems with Ra-Fu phenomenon. Then three classes of bi-level mathematical models with Ra-Fu parameters are developed. Some theoretical results and algorithms are proposed for the models. At the end of the chapter, a practical case study demonstrates the feasibility and efficiency of the proposed methods.

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References

  1. Abo-Sinna M (2001) A bi-level non-linear multi-objective decision making under fuzziness. Opsearch-New Delhi 38(5):484–495

    MathSciNet  MATH  Google Scholar 

  2. Branch K, Baker K (2007) Security during the construction of critical infrastructure in the post 9/11 context in the u.s. In: 8th annual conference on human factors and power plants. Institute of Electrical and Electronics Engineers (IEEE), Monterey

    Google Scholar 

  3. Cai J (2009) Hydropower in China. Master’s thesis, University of Gavle

    Google Scholar 

  4. Chadli O, Mahdioui H, Yao JC (2011) Bilevel mixed equilibrium problems in banach spaces: existence and algorithmic aspects. J Ind Manag Optim 1:549–561

    MATH  Google Scholar 

  5. Chankong V, Haimes Y (1983) Multiobjective decision making: theory and methodology. North-Holland, New York

    MATH  Google Scholar 

  6. Charnes A, Cooper WW (1959) Chance-constrained programming. Manag Sci 6(1):73–79

    Article  MathSciNet  MATH  Google Scholar 

  7. Church RL, Scaparra MP, Middleton RS (2004) Identifying critical infrastructure: the median and covering facility interdiction problems. Ann Assoc Am Geograph 94:491–502

    Article  Google Scholar 

  8. Construction Industry Institute (2005) Implementing project security practices, implementation resource BMM-3, benchmarking and metrics, CII. University of Texas, Austin

    Google Scholar 

  9. Dubois D, Prade H (1988) Possibility theory: an approach to computerized processing of uncertainty. Plenum Press, New York

    Book  MATH  Google Scholar 

  10. Dubois D, Prade H (1998) Possibility theory: qualitative and quantitative aspects. In: Quantified representation of uncertainty and imprecision. Springer, Berlin/New York, pp 169–226

    Chapter  Google Scholar 

  11. FAA (2001) Recommended security guidelines for airport planning, design and construction. Report no DOT/FAA/AR-00/52, U.S. Deptartment of Transportation, Washington, DC

    Google Scholar 

  12. Fan Z (2016) Application of plant growth simulation algorithm. In: 4th international conference on machinery, materials and computing technology (ICMMCT 2016), Hangzhou. Atlantis Press, pp 1654–1657

    Google Scholar 

  13. Foreign Affairs Manual (1994) Construction security, construction materials, and transit security. Manual 12 FAM 350, Foreign Affairs Manual, Chapter 12 – Diplomatic Security, U.S. Department of State

    Google Scholar 

  14. Foreign Affairs Manual (1997) Industrial security program. Document 12 FAM 570, Foreign AffairsManual, Chapter 12 – Diplomatic Security, U.S. Department of State

    Google Scholar 

  15. Foreign Affairs Manual (2002) Construction security certification program. Manual 12 FAM 360, Foreign Affairs Manual, Chapter 12 – Diplomatic Security, U.S. Department of State

    Google Scholar 

  16. Hallowell MR, Gambatese JA (2009) Construction safety risk mitigation. J Constr Eng Manag 135:1316–1323

    Article  Google Scholar 

  17. Khalafallah A, El-Rayes K (2008) Minimizing construction-related security risks during airport expansion projects. J Constr Eng Manag 134:40–48

    Article  Google Scholar 

  18. Krätschmer V (2001) A unified approach to fuzzy random variables. Fuzzy Sets Syst 123(1):1–9

    Article  MathSciNet  MATH  Google Scholar 

  19. Kruse R, Meyer K (1987) Statistics with vague data. Springer, Dordrecht

    Book  MATH  Google Scholar 

  20. Kwakernaak H (1978) Fuzzy random variables-I. Definitions and theorems. Inf Sci 15(1):1–29

    Article  MathSciNet  MATH  Google Scholar 

  21. Lee E, Shih H (2000) Fuzzy and multi-level decision making: and interactive computational approach. Springer, New York

    Google Scholar 

  22. Li J, Xu J (2009) A novel portfolio selection model in a hybrid uncertain environment. Omega 37(2):439–449

    Article  Google Scholar 

  23. Li T, Wang C, Wang W, Su W (2005) A global optimization bionics algorithm for solving integer programming-plant growth simulation algorithm. In: Proceedings of international conference of management science and engineering, Incheon, pp 13–15

    Google Scholar 

  24. Li Z, Shen W, Xu J et al (2015) Bilevel and multi-objective dynamic construction site layout and security planning. Autom Constr 57:1–16

    Article  Google Scholar 

  25. Liang TF, Cheng HW (2011) Multi-objective aggregate production planning decisions using two-phase fuzzy goal programming method. J Ind Manag Optim 7:365–383

    Article  MathSciNet  MATH  Google Scholar 

  26. Liberatore F, Scaparra MP, Daskin MS (2011) Analysis of facility protection strategies against an uncertain number of attacks: the stochastic r-interdiction median problem with fortification. Comput Oper Res 38:357–366

    Article  MathSciNet  MATH  Google Scholar 

  27. Liu GS, Zhang J (2005) Decision making of transportation plan, a bilevel transportation problem approach. J Ind Manag Optim 1:305–314

    Article  MathSciNet  MATH  Google Scholar 

  28. Losada C, Scaparra MP, Church RL (2010) On a bilevel formulation to protect uncapacitated p-median systems with facility recovery time and frequent disruptions. Electron Notes Discret Math 36:591–598

    Article  MATH  Google Scholar 

  29. Matthews B, Sylvie JR, Lee S, Thomas SR, Chapman RE, Gibson GE (2006) Addressing security in early stages of project life cycle. J Manag Eng 22:196–202

    Article  Google Scholar 

  30. O’Hanley JR, Church RL (2011) Designing robust coverage networks to hedge against worst-case facility losses. Eur J Oper Res 209:23–36

    Article  MathSciNet  MATH  Google Scholar 

  31. (PEO), P.E.O.: National industrial security program. Fed Regist 58(5):1–6 (1993)

    Google Scholar 

  32. Puri M, Ralescu D (1986) Fuzzy random variables. J Math Anal Appl 114(2):409–422

    Article  MathSciNet  MATH  Google Scholar 

  33. Rao RS, Narasimham SVL, Ramalingaraju M (2011) Optimal capacitor placement in a radial distribution system using Plant Growth Simulation Algorithm. Electr Power Energy Syst 33:1133–1139

    Article  Google Scholar 

  34. Said H, El-Rayes K (2010) Optimizing the planning of construction site security for critical infrastructure projects. Autom Constr 19:221–234

    Article  Google Scholar 

  35. Sakawa M (1993) Fuzzy sets and interactive multiobjective optimization. Plenum Press, New York

    Book  MATH  Google Scholar 

  36. Sarma AK, Rafi KM (2011) Optimal selection of capacitors for radial distribution systems using Plant Growth Simulation Algorithm. Int J Adv Sci Technol 30:43–54

    Google Scholar 

  37. Scaparra MP, Church RL (2008) A bilevel mixed-integer program for critical infrastructure protection planning. Comput Oper Res 35(6):1905–1923

    Article  MATH  Google Scholar 

  38. Shi X, Xia H (1997) Interactive bilevel multi-objective decision making. J Oper Res Soc 48(9):943–949

    Article  MATH  Google Scholar 

  39. Shi X, Xia HS (2001) Model and interactive algorithm of bi-level multi-objective decision-making with multiple interconnected decision makers. J Multi-Criteria Decis Anal 10(1):27–34

    Article  MATH  Google Scholar 

  40. Shih H, Lai Y, Stanley Lee E (1996) Fuzzy approach for multi-level programming problems. Comput Oper Res 23(1):73–91

    Article  MathSciNet  MATH  Google Scholar 

  41. Simaan M, Cruz JB (1973) On the Stackelberg strategy in nonzero-sum games. J Optim Theory Appl 11(5):533–555

    Article  MathSciNet  MATH  Google Scholar 

  42. Simpson S (2008) Airport security during construction. In: 4th annual international airfield operations area expo & conference. Airport Consultants Council (AAC), Milwaukee

    Google Scholar 

  43. Szidarovszky F, Gershon M, Duckstein L (1986) Techniques for multiobjective decision making in systems management. Elsevier Science, Amsterdam

    MATH  Google Scholar 

  44. Tarr CJ (1992) CLASP: a computerised aid to cost effective perimeter security. In: Security technology 28th international Carnahan conference. Institute of Electrical and Electronics Engineers (IEEE), Atlanta, pp 164–168

    Google Scholar 

  45. Toole TM (2002) Construction site safety roles. J Constr Eng Manag 128:203–210

    Article  Google Scholar 

  46. Uno T, Katagiri H (2008) Single-and multi-objective defensive location problems on a network. Eur J Oper Res 188:76–84

    Article  MathSciNet  MATH  Google Scholar 

  47. Walker GH (2008) Securing the construction site. In: IRMI construction risk conference, Las Vegas

    Google Scholar 

  48. Wang C, Cheng H (2009) Transmission network optimal planning based on plant growth simulation algorithm. Eur Trans Electr Power 19:291–301

    Article  Google Scholar 

  49. Xu J, Li J (2005) Multiple objective decision making theory and methods. Tsinghua University Press, Beijing (in Chinese)

    Google Scholar 

  50. Xu J, Liu Y (2008) Multi-objective decision making model under fuzzy random environment and its application to inventory problems. Inf Sci 178(14):2899–2914

    Article  MATH  Google Scholar 

  51. Xu JP, Wei P (2012) Production-distribution planning of construction supply chain management under fuzzy random environment for large-scale construction project. J Ind Manag Optim 9(1):31–56

    Article  MathSciNet  MATH  Google Scholar 

  52. Xu JP, Yao LM (2011) Random-like multiple objective decision making. Springer, Berlin/Heidelberg

    Google Scholar 

  53. Xu J, Liu Q, Wang R (2008) A class of multi-objective supply chain networks optimal model under random fuzzy environment and its application to the industry of Chinese liquor. Inf Sci 178(8):2022–2043

    Article  MATH  Google Scholar 

  54. Zadeh L (1978) Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets Syst 1(1):3–28

    Article  MathSciNet  MATH  Google Scholar 

  55. Zhang L, Wu SY (2010) Robust solutions to Euclidean facility location problems with uncertain data. J Ind Manag Optim 6(4):751–760

    Article  MathSciNet  MATH  Google Scholar 

  56. Zhang G, Lu J, Gao Y (2015) Bi-Level programming models and algorithms. In: Multi-level decision making. Springer, Berlin/Heidelberg, pp 47–62

    Google Scholar 

  57. Zhou X, Xu J (2009) A class of integrated logistics network model under random fuzzy environment and its application to Chinese beer company. Int J Uncertain Fuzziness Knowl-Based Syst 17(6):807–831

    Article  MATH  Google Scholar 

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Xu, J., Li, Z., Tao, Z. (2016). Bi-Level Decision Making in Ra-Fu Phenomenon. In: Random-Like Bi-level Decision Making. Lecture Notes in Economics and Mathematical Systems, vol 688. Springer, Singapore. https://doi.org/10.1007/978-981-10-1768-1_4

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  • DOI: https://doi.org/10.1007/978-981-10-1768-1_4

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  • Print ISBN: 978-981-10-1767-4

  • Online ISBN: 978-981-10-1768-1

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