587
Views
0
CrossRef citations to date
0
Altmetric
Articles

A Fuzzy-Weighted Approach to the Problem of Selecting the Right Strategy Using the Robustness Analysis (Case Study: Iran Automotive Industry)

, , &

References

  • Engau C, Hoffmann VH. Strategizing in an unpredictable climate: exploring corporate strategies to cope with regulatory uncertainty. Long Range Plann. 2011;44:42–63.
  • Wong HY. Using robustness analysis to structure online marketing and communication problems. J Oper Res Soc. 2007;58:633–644.
  • Gumus AT. Evaluation of hazardous waste transportation firms by using a two-step fuzzy-AHP and TOPSIS methodology. Expert Syst Appl. 2009;36:4067–4074.
  • Namen AA, Bornstein CT, Rosenhead J. The use of robustness analysis for planning actions in a poor Brazilian community. Pesq Oper. 2010;30:267–280.
  • Yu CS. A GP-AHP method for solving group decision-making fuzzy AHP problems. Comp Opert Res. 2002;29:1969–2001.
  • Hashemi N, Ghaffary G. A proposed sustainable rural development index (SRDI): lessons from Hajij village. Iran Tour Manag. 2017;59:130–138.
  • Walukow MI, Pangemanan SA. Developing a competitive strategic model using quantitative strategic planning matrix (QSPM) approach for handicrafts ceramic industry in Pulutan, Minahasa Regency. Proc Soc Behav Sci. 2015;211:688–695.
  • Parraga CN, Gonzalez CN, Soler FF. DELPHI-SWOT tools used in strategic planning of the port of Manta. Proc Soc Behav Sci. 2014;162:129–138.
  • Wang XP, Zhang J, Yang T. Hybrid SWOT approach for strategic planning and formulation in China worldwide express mail service. J Appl Res Technol. 2014;12:230–238.
  • Postma TJBM, Liebl F. How to improve scenario analysis as a strategic management tool? Technol Forecast Soc Change. 2005;72:161–173.
  • Cook CN, Inayatollah S, Burgman MA, et al. Strategic foresight: how planning for the unpredictable can improve environmental decision-making? Trends Ecol Evol. 2014;29(9):531–541.
  • Cheng MN, Wong JWK, Cheung CF, et al. A scenario-based road-mapping method for strategic planning and forecasting: a case study in a testing, inspection, and certification company. Technol Forecast Soc Change. 2016;111:44–62.
  • Greiner R, Puig J, Huchery C, et al. Scenario modeling to support industry strategic planning and decision-making. Environ Model Softw. 2014;55:120–131.
  • Mukherjee S. Selection of alternative fuels for sustainable urban transportation under multi-criteria intuitionistic fuzzy environment. Fuzzy Inf Eng. 2017;9:117–135.
  • Rao CJ, Liu JE, Dong JH, et al. Hybrid multi-attribute decision-making method of electric coal procurement in industry. Fuzzy Inf Eng. 2014;6:451–462.
  • Somasundaram R, Krishnamoorthy V. Selection of strategy using multi-objective multi-criteria decision model in the SSI unit. Int Res J Bus Manag. 2014;1:10–18.
  • Chang PL, Chen YC. A fuzzy multi-criteria decision-making method for technology transfer strategy selection in biotechnology. Fuzzy Sets Syst. 1994;63:131–139.
  • Azar A, Sorourkhah A. Designing a model for three-dimensional robustness analysis: a case study of Iran Khodro Machin tools industries company. Ind J Sci Technol. 2015;8:1–5.
  • Driouchi T, Leseure M, Bennett D. A robustness framework for monitoring real options under uncertainty. Omega. 2009;37(3):698–710.
  • Eustace D, Russell ER, Landman ED. Application of robustness analysis for developing a procedure for better urban transportation planning decisions. J Transp Res Forum. 2003;57:107–121.
  • Wong HY, Rosenhead J. A rigorous definition of robustness analysis. J Oper Res Soc. 2000;51:176–182.
  • Rudd JM, Greenley GE, Beatson AT, et al. Strategic planning and performance: extending the debate. J Bus Res. 2008;61:99–108.
  • Mansson A. Energy security in a decarbonized transport sector: a scenario-based analysis of Sweden’s transport strategies. Energy Strat Rev. 2016;13-14:236–247.
  • Ram C, Montibeller G, Morton A. Extending the use of scenario planning and MCDA for the evaluation of strategic options. J Oper Res Soc. 2011;62:817–829.
  • Rosenhead J. Robustness analysis. New York: John Wiley & Sons; 2010.
  • Attari A, Nasseri SH. New concepts of feasibility and efficiency of solutions in fuzzy mathematical programming. Fuzzy Inf Eng. 2014;6:203–221.
  • Babaie-Kafaki S, Ghanbari R, Mahdavi-Amiri N. Hybridizations of genetic algorithms and neighbourhood search metaheuristics for fuzzy bus terminal location problems. Appl Soft Comput. 2016;46:220–229.
  • Ghanbari R, Babaie-Kafaki S, Mahdavi-Amiri N. An efficient hybridization of genetic algorithm and variable neighbourhood search for fuzzy bus terminal location problems with fuzzy setup cost. Asia Pac J Oper Res . 2012;29(2):1–25.
  • Dolan ED, Moré JJ. Benchmarking optimization software with performance profiles. Math Program. 2002;91:201–213.
  • Bellman RE, Zadeh LA. Decision-making in a fuzzy environment. Manage Sci. 1970;17:141–164.
  • Dubios D, Prade H. Fuzzy sets and systems: theory and applications. New York: Academic Press; 1980.
  • Zimmermann HJ. Fuzzy set theory and its applications. Norwell: Kluwer Academic; 1996.
  • Bezdek LC. Fuzzy models-what are they and why? IEEE Trans Fuzzy Syst. 1993;1(1):1–6.
  • Ghanbari R, Mahdavi-Amiri N. Fuzzy LR linear systems: quadratic and least-squares models to characterize exact solutions and an algorithm to compute approximate solutions. Soft comput. 2015;19(1):205–216.
  • Ghanbari R, Mahdavi-Amiri N. Fuzzy solutions of LR fuzzy linear systems using ranking functions and ABS algorithms. Appl Math Model. 2010;34:3363–3375.
  • Garcia C, Verdegay JL. On the sensitivity of membership functions for fuzzy linear programming problems. Fuzzy Sets Syst. 1993;56:47–49.
  • Mahdavi-Amiri N, Nasseri SH. Duality results and a dual simplex method for linear programming problems with trapezoidal fuzzy variables. Fuzzy Sets Syst. 2007;158(17):1961–1978.
  • Ghanbari R. Solutions of fuzzy LR algebraic linear systems using linear programs. Appl Math Model. 2015;39(17):5164–5173.
  • Nasseri H, Taghi-Nezhad N, Ebrahimnezhad A. A note on ranking fuzzy number with an area method using circumcenter of centroids. Fuzzy Inf Eng. 2107;9:259–268.
  • Issa T, Chang V, Issa T. Sustainable business strategies and PESTEL framework. GSTF Int J Comput. 2010;1(1):73–79.
  • Saaty TL. How to make a decision? The analytic hierarchy process. Eur J Oper Res. 1990;48:9–26.
  • Nasseri SH, Zadeh MM, Kardoost M, et al. Ranking fuzzy quantities based on the angle of the reference functions. Appl Math Model. 2013;37:9230–9241.
  • Buckley JJ. Fuzzy hierarchical analysis. Fuzzy Sets Syst. 1985;17(3):233–247.
  • David FR. Strategic management: concepts and cases. Upper Saddle River: Prentice Hall; 2011.
  • Gogus O, Boucher TO. Strong transitivity, rationality and weak monotonicity in fuzzy pairwise comparisons. Fuzzy Sets Syst. 1998;94:133–144.
  • Gould N, Scott J. A note on performance profiles for benchmarking software. ACM Trans Math Softw. 2016;43(2):1–5.
  • Wang YM, Elhag TMS, Hua Z. A modified fuzzy logarithmic least-square method for fuzzy analytic hierarchy process. Fuzzy Sets Syst. 2006;157:3055–3071.
  • Wang YM, Chin KS. Fuzzy analytic hierarchy process: a logarithmic fuzzy preference programming methodology. Int J Approx Reason. 2011;52:541–553.