Fuzzy Linear Physical Programming for Multiple Criteria Decision-Making Under Uncertainty

This paper presents a newly developed fuzzy linear physical programming (FLPP) model that allows the decision maker to introduce his/her preferences for multiple criteria decision making in a fuzzy environment. The major contribution of this research is to generalize the current models by accommodating an environment that is conducive to fuzzy problem solving. An example is used to evaluate, compare and discuss the results of the proposed model.

[1]  Hong-Zhong Huang,et al.  Fuzzy preference based Interactive Fuzzy Physical Programming and its application in multi-objective optimization , 2006 .

[2]  Christopher A. Mattson,et al.  Linear physical programming for production planning optimization , 2003 .

[3]  Xavier Blasco Ferragud,et al.  Modelling preferences in multi-objective engineering design , 2010, Eng. Appl. Artif. Intell..

[4]  Alfred J.D. Lambert,et al.  Disassembly Modeling for Assembly, Maintenance, Reuse and Recycling , 2004 .

[5]  Florin G. Filip.  Decision support and control for large-scale complex systems , 2007, Annu. Rev. Control..

[6]  E. Hannan.  Linear programming with multiple fuzzy goals , 1981 .

[7]  Yuan Xu.  Fuzzy physical programming and its application , 2004 .

[8]  R. Narasimhan.  GOAL PROGRAMMING IN A FUZZY ENVIRONMENT , 1980 .

[9]  Robert E. Spekman,et al.  Outcome-driven supply chains , 2010 .

[10]  Yordan Kyosev,et al.  Fuzzy Relational Calculus - Theory, Applications and Software , 2004, Advances in Fuzzy Systems - Applications and Theory.

[11]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[12]  Surendra M. Gupta,et al.  Linear Physical Programming , 2017 .

[13]  S. Sumathi,et al.  Computational Intelligence Paradigms: Theory & Applications using MATLAB , 2010 .

[14]  Surendra M. Gupta,et al.  Solving the disassembly-to-order problem using linear physical programming , 2009, Int. J. Math. Oper. Res..

[15]  Surendra M. Gupta,et al.  A multi-criteria decision making model for advanced repair-to-order and disassembly-to-order system , 2014, Eur. J. Oper. Res..

[16]  Florin Gheorghe Filip,et al.  DSS in numbers , 2014 .

[17]  Achille Messac,et al.  Physical programming - Effective optimization for computational design , 1996 .

[18]  Hong-Zhong Huang,et al.  Optimal Design of Conic-Cylindrical Gear Reduction Unit Using Fuzzy Physical Programming , 2004, Intelligent Information Processing.

[19]  Surendra M. Gupta,et al.  Physical Programming: A Review of the State of the Art , 2012 .

[20]  Hong-Zhong Huang,et al.  Fuzzy Physical Programming and Its Application in Optimization of Through Passenger Train Plan , 2002 .

[21]  Hokey Min,et al.  CONSOLIDATING A WAREHOUSE NETWORK: A PHYSICAL PROGRAMMING APPROACH , 2005 .

[22]  Bart Kosko,et al.  Fuzzy Systems as Universal Approximators , 1994, IEEE Trans. Computers.