Skip to main content

Engineering Economics Using Fuzzy Sets: A Literature Review

  • Conference paper
  • First Online:
Intelligent and Fuzzy Techniques: Smart and Innovative Solutions (INFUS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1197))

Included in the following conference series:

Abstract

Estimating the values of investment parameters in engineering economics is a fundamental issue which is based on human thoughts and judgments. It can be quietly difficult to make an investment decision especially in vague and indefinite environments. When a model is based on human thoughts, fuzzy logic offers excellent solutions in an environment of uncertainty. In addition, fuzzy logic can be an agreeable tool when no probabilities are accessible for states of nature, and when decisions are given under uncertainness. In this paper, the studies on engineering economics employing the extensions of fuzzy sets are summarized with a historical order. The future possible studies are suggested in the conclusion.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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

Institutional subscriptions

References

  1. Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)

    Article  MATH  Google Scholar 

  2. Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning. Inf. Sci. 8(3), 199–249 (1975)

    Article  MathSciNet  MATH  Google Scholar 

  3. Atanassov, K.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20(1), 87–96 (1986)

    Article  MATH  Google Scholar 

  4. Yager, R.R.: On the theory of bags. Int. J. Gen. Syst. 13(1), 23–37 (1986)

    Article  MathSciNet  Google Scholar 

  5. Torra, V.: Hesitant fuzzy sets. Int. J. Intell. Syst. 25(6), 529–539 (2010)

    MATH  Google Scholar 

  6. Atanassov, K.T.: More on intuitionistic fuzzy sets. Fuzzy Sets Syst. 33(1), 37–45 (1989)

    Article  MathSciNet  MATH  Google Scholar 

  7. Smarandache, F.: A unifying field in logics. Neutrosophy: Neutrosophic probability, set and logic. (1999)

    Google Scholar 

  8. Garibaldi, J.M., Ozen, T.: Uncertain fuzzy reasoning: a case study in modelling expert decision making. IEEE Trans. Fuzzy Syst. 15(1), 16–30 (2007)

    Article  Google Scholar 

  9. Cuong, B.C.: Picture fuzzy sets. J. Comput. Sci. Cybern. 30(4), 409 (2014)

    Google Scholar 

  10. Yager, R.R.: Generalized orthopair fuzzy sets. IEEE Trans. Fuzzy Syst. 25(5), 1222–1230 (2016)

    Article  Google Scholar 

  11. Kutlu Gündoğdu, F., Kahraman, C.: Spherical fuzzy sets and spherical fuzzy topsis method. J. Intell. Fuzzy Syst. 36(1), 337–352 (2019)

    Article  Google Scholar 

  12. Senapati, T., Yager, R.R.: Fermatean fuzzy sets. J. Ambient Intell. Humaniz. Comput. 11, 663–674 (2020)

    Article  Google Scholar 

  13. Goh, K.C., Goh, H.H., Chong, H.: Integration model of fuzzy AHP and life-cycle cost analysis for evaluating highway infrastructure investments. J. Infrastruct. Syst. 25(1), 04018045 (2019)

    Article  Google Scholar 

  14. Bagdatli, M.E.C.: Fuzzy logic-based life-cycle cost analysis of road pavements. J. Stomatol. 144(4), 04018050 (2018)

    Google Scholar 

  15. Heravi, G., Esmaeeli, A.N.: Fuzzy multicriteria decision-making approach for pavement project evaluation using life-cycle cost/performance analysis. J. Infrastruct. Syst. 20(2), 04014002 (2014)

    Article  Google Scholar 

  16. Chen, C., Flintsch, G.W.: Fuzzy logic pavement maintenance and rehabilitation triggering approach for probabilistic life-cycle cost analysis. Transp. Res. Rec. 1990, 80–91 (2007)

    Article  Google Scholar 

  17. Liang, Q., Song, B., Jiang, J.: Fuzzy-grey ideal point method for estimating the life cycle cost and effectiveness of torpedo. Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Syst. Eng. Electron. 28(9), 1375–1377+1397 (2006)

    Google Scholar 

  18. Plebankiewicz, E., Meszek, W., Zima, K., Wieczorek, D.: Probabilistic and fuzzy approaches for estimating the life cycle costs of buildings under conditions of exposure to risk. Sustainability 12(1), 226 (2020)

    Article  Google Scholar 

  19. Chen, T.: Estimating unit cost using agent-based fuzzy collaborative intelligence approach with entropy-consensus. Appl. Soft Comput. J. 73, 884–897 (2018)

    Article  Google Scholar 

  20. Alshibani, A., Hassanain, M.A.: Estimating facilities maintenance cost using post-occupancy evaluation and fuzzy set theory. J. Qual. Maintenance Eng. 24(4), 449–467 (2018)

    Article  Google Scholar 

  21. Kasie, F.M., Bright, G., Walker, A.: Estimating cost of new products using fuzzy case-based reasoning and fuzzy analytic hierarchy process. Adv. Transdisc. Eng. 5, 969–976 (2017)

    Google Scholar 

  22. Muñoz, M., Miranda, E., Sánchez, P.J.: A fuzzy system for estimating premium cost of option exchange using mamdani inference: derivatives market of mexico. Int. J. Comput. Intell. Syst. 10(1), 153–164 (2017)

    Article  Google Scholar 

  23. Muñoz, M., Miranda, E.: A fuzzy system for estimating premium cost of option exchange using mamdani inference: derivates market of Mexico. In: Paper presented at the 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), pp. 888–895 (2016)

    Google Scholar 

  24. Zima, K.: Fuzzy case based reasoning in sports facilities unit cost estimating. Paper presented at the AIP Conference Proceedings, vol. 1738 (2016)

    Google Scholar 

  25. Zima, K.: The use of fuzzy case-based reasoning in estimating costs in the early phase of the construction project. In: AIP Conference Proceedings, vol. 1648 (2015)

    Google Scholar 

  26. Yi, T., Zhang, Y., Cui, S.: Cost estimating method of power engineering overhead line based on fuzzy analogy. Energy Educ. Sci. Technol. Part A: Energy Sci. Res. 32(6), 6571–6580 (2014)

    Google Scholar 

  27. Fayek, A.R., Rodriguez Flores, J.R.: Application of fuzzy logic to quality assessment of infrastructure projects at conceptual cost estimating stage. Can. J. Civ. Eng. 37(8), 1137–1147 (2010)

    Article  Google Scholar 

  28. Cocodia, E.: Risk based fuzzy modeling of cost estimating relationships for floating structures. In: Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE 1, pp. 129–142 (2008)

    Google Scholar 

  29. El-Cheikh, M., Chan, A.H.C., Lamb, J.: Fuzzy applications in cost estimating and construction planning. In: Proceedings of the 11th International Conference on Civil, Structural and Environmental Engineering Computing, Civil-Comp 2007 (2007)

    Google Scholar 

  30. Shaheen, A.A., Fayek, A.R., Abourizk, S.M.: Fuzzy numbers in cost range estimating. J. Constr. Eng. Manage. 133(4), 325–334 (2007)

    Article  Google Scholar 

  31. Mason, A.K., Kahn Sr., D.J.: Estimating costs with fuzzy logic. AACE Int. Trans. 12, 122 (1997)

    Google Scholar 

  32. Petley, G.J., Edwards, D.W.: Further developments in chemical plant cost estimating using fuzzy matching. Comput. Chem. Eng. 19(SUPPL.1), 675–680 (1995)

    Article  Google Scholar 

  33. Kahraman, C., Çevik Onar, S., Oztaysi, B., Sarı, I.U., Ilbahar, E.: Wind energy investment analyses based on fuzzy sets. In: Kahraman, C., Kayakutu, G. (eds.) Energy Management—Collective and Computational Intelligence with Theory and Applications. Studies in Systems, Decision and Control, vol. 149, pp. 141–166. Springer, Cham (2018)

    Chapter  Google Scholar 

  34. Xiaoping, B., Jia, F.: A new optimization model about enterprise equipment investment project based on integrated entropy weight and fuzzy matter element. Res. J. Appl. Sci., Eng. Technol. 4(20), 3885–3890 (2012)

    Google Scholar 

  35. Sheen, J.N.: Information security investment decision by fuzzy economics. In: Paper presented at the Proceedings - 3rd International Conference on Information Sciences and Interaction Sciences, ICIS 2010, pp. 648–653 (2010)

    Google Scholar 

  36. Sheen, J.N.: Applying fuzzy engineering economics to evaluate project investment feasibility of wind generation. WSEAS Trans. Syst. 8(4), 501–510 (2009)

    MathSciNet  Google Scholar 

  37. Majlender, P.: Soft decision support systems for evaluating real and financial investments. In: Kahraman, C. (ed.) Fuzzy Engineering Economics with Applications, pp. 307–338 (2008)

    Google Scholar 

  38. Kahraman, C.: Investment analyses using fuzzy decision trees, In: Kahraman, C. (ed.) Fuzzy Engineering Economics with Applications, pp. 231–242 (2008)

    Google Scholar 

  39. Dymova, L., Sevastjanov, P.: Fuzzy multiobjective evaluation of investments with applications, In: Kahraman, C. (ed.) Fuzzy Engineering Economics with Applications, pp. 243–288 (2008)

    Google Scholar 

  40. Araque, F., Salguero, A., Carrasco, R., Martinez, L.: Using fuzzy multi-attribute data mining in stock market analysis for supporting investment decisions. In: Kahraman, C. (ed.) Fuzzy Engineering Economics with Applications, pp. 289–306 (2008)

    Google Scholar 

  41. Dimitrovski, A., Matos, M.: Fuzzy present worth analysis with correlated and uncorrelated cash flows. In: Kahraman, C. (ed.) Fuzzy Engineering Economics with Applications, pp. 11–42 (2008)

    Google Scholar 

  42. Kuchta, D.: Optimization with fuzzy present worth analysis and applications. In: Kahraman, C. (ed.) Fuzzy Engineering Economics with Applications, pp. 43–70 (2008)

    Google Scholar 

  43. Kahraman, C., Onar, S.C., Oztaysi, B.: Present worth analysis using pythagorean fuzzy sets (2018)

    Google Scholar 

  44. Sarı, I.U., Kahraman, C.: Economic analysis of municipal solid waste collection systems using type-2 fuzzy net present worth analysis (2017)

    Google Scholar 

  45. Beskese, A., Kahraman, C., Irani, Z.: Quantification of flexibility in advanced manufacturing systems using fuzzy concept. Int. J. Prod. Econ. 89(1), 45–56 (2004)

    Article  Google Scholar 

  46. Kahraman, C., Cevik Onar, S., Oztaysi, B.: Engineering economic analyses using intuitionistic and hesitant fuzzy sets. J. Intell. Fuzzy Syst. 29(3), 1151–1168 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  47. Çoban, V., Onar, S.C.: Pythagorean fuzzy engineering economic analysis of solar power plants. Soft. Comput. 22(15), 5007–5020 (2018)

    Article  Google Scholar 

  48. Kahraman, C., Sarı, I.U., Onar, S.C., Oztaysi, B.: Fuzzy economic analysis methods for environmental economics. In: Intelligent Systems Reference Library, vol. 113, pp. 315–346 (2017)

    Google Scholar 

  49. Kahraman, C.: Future directions in fuzzy engineering economics. In: Kahraman, C. (ed.) Fuzzy Engineering Economics with Applications. Studies in Fuzziness and Soft Computing, vol. 233, pp. 381–382. Springer, Heidelberg (2008)

    Chapter  MATH  Google Scholar 

  50. Kahraman, C.: Fuzzy Engineering Economics with Applications. Springer, Heidelberg (2008)

    Book  MATH  Google Scholar 

  51. Kahraman C.: Fuzzy sets in engineering economic decision-making. In: Kahraman, C. (ed.) Fuzzy Engineering Economics with Applications, pp. 1–10 (2008)

    Google Scholar 

  52. Dimitrovski, A.D., Matos, M.A.: Fuzzy engineering economic analysis. IEEE Trans. Power Syst. 15(1), 283–289 (2000)

    Article  Google Scholar 

  53. Kaino, T., Hirota K., Pedrycz, W.X.: Fuzzy sensitivity analysis and its application. In: Kahraman, C. (ed.) Fuzzy Engineering Economics with Applications, pp. 183–216 (2008)

    Google Scholar 

  54. Yoon, K.P.: A probabilistic approach to fuzzy engineering economic analysis. In: Kahraman, C. (ed.) Fuzzy Engineering Economics with Applications, pp. 217–230 (2008)

    Google Scholar 

  55. Nguyen, H.T., Sriboonchitta, S., Wu, B.: A statistical basis for fuzzy engineering economics. Int. J. Fuzzy Syst. 17(1), 1–11 (2015)

    Article  MathSciNet  Google Scholar 

  56. Kahraman, C., Kaya, I.: Fuzzy equivalent annual-worth analysis and applications. In: Kahraman, C. (ed.) Fuzzy Engineering Economics with Applications, pp. 71–82 (2008)

    Google Scholar 

  57. Matos, M., Dimitrovski, A.: Case studies using fuzzy equivalent annual worth analysis. In: Kahraman, C. (ed.) Fuzzy Engineering Economics with Applications, pp. 83–96 (2008)

    Google Scholar 

  58. Kuchta, D.: Fuzzy rate of return analysis and applications. In: Kahraman, C. (ed.) Fuzzy Engineering Economics with Applications, pp. 97–104 (2008)

    Google Scholar 

  59. Sewastjanow, P., Dymowa, L.: On the fuzzy internal rate of return. In: Kahraman, C. (ed.) Fuzzy Engineering Economics with Applications, pp. 105–128 (2008)

    Google Scholar 

  60. Buckley, J.J., Eslami, E.: Pricing options, forwards and futures using fuzzy set theory. In: Kahraman, C. (ed.) Fuzzy Engineering Economics with Applications, pp. 339–358 (2008)

    Google Scholar 

  61. Kahraman, C., Bas, E.: Fuzzy capital rationing models. In: Kahraman, C. (ed.) Fuzzy Engineering Economics with Applications, pp. 359–380 (2008)

    Google Scholar 

  62. Ucal, I.: Cengiz Kahraman: Fuzzy Real Options Valuation for Oil Investments. J. Technol. Econ. Devel. Econ. 15(4), 646–669 (2009)

    Article  Google Scholar 

  63. Kahraman, C., Demirel, T., Demirel, N.: Effects of inflation under fuzziness and some applications. In: Kahraman, C. (ed.) Fuzzy Engineering Economics with Applications, pp. 173–182, (2008)

    Google Scholar 

  64. Kahraman, C., Kaya, I.: Depreciation and income tax considerations under fuzziness. In: Kahraman, C. (ed.) Fuzzy Engineering Economics with Applications, pp. 159–172 (2008)

    Google Scholar 

  65. Wicaksono, F.D., Arshad, Y., Sihombing, H., Baihaqi, I.: Gaussian fuzzy analytic hierarchy process for the evaluation of benefit, cost, and risk analysis in the indonesian oil and gas processing area. J. Teknol. 81(6), 25–37 (2019)

    Google Scholar 

  66. Kahraman, C., Kaya, I.: Fuzzy benefit/cost analysis and applications. In: Kahraman, C. (ed.) Fuzzy Engineering Economics with Applications, pp. 129–144 (2008)

    Google Scholar 

  67. Bağdatlı, M.E.C., Akbıyıklı, R., Papageorgiou, E.I.: A fuzzy cognitive map approach applied in Cost–Benefit analysis for highway projects. Int. J. Fuzzy Syst. 19(5), 1512–1527 (2017)

    Article  Google Scholar 

  68. Verma, NK., Ghosh, A., Dixit, S., Salour, A.: Cost-benefit and reliability analysis of prognostic health management systems using fuzzy rules. In: 2015 IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions, WCI 2015 (2016)

    Google Scholar 

  69. Rabbani, M., Soufi, H.R., Torabi, S.A.: Developing a two-step fuzzy cost-benefit analysis for strategies to continuity management and disaster recovery. Saf. Sci. 85, 9–22 (2016)

    Article  Google Scholar 

  70. Kahraman, C., Onar, S.C., Oztaysi, B.: A comparison of wind energy investment alternatives using interval-valued intuitionistic fuzzy benefit/cost analysis. Sustainability 8(2), 118 (2016)

    Article  Google Scholar 

  71. Fulari, H., Fegade, V., Loharkar, P.K.: The fuzzy cost benefit analysis of design for product development process with perspective of remanufacturing. Int. J. Appl. Eng. Res. 10(11), 10114–10118 (2015)

    Google Scholar 

  72. Thengane, S.K., Hoadley, A., Bhattacharya, S., Mitra, S., Bandyopadyay, S.: Cost-benefit analysis of different hydrogen production technologies using AHP and fuzzy AHP. Int. J. Hydrogen Energy 39(28), 15293–15306 (2014)

    Article  Google Scholar 

  73. Xu, C.W., Yao, J., Li, J.: A hybrid approach based on the fuzzy AHP and benefit cost analysis to evaluating cutting blade alternatives. Appl. Mech. Mater. 364, 513–518 (2013)

    Article  Google Scholar 

  74. Carmen, T., Ramona, C., Daniela, B.: Fuzzy uncertainty analysis and multi-period cost-benefit analysis. innovation and sustainable competitive advantage: from regional development to world economies. In: Proceedings of the 18th International Business Information Management Association Conference, vol. 3, pp. 1490–1498 (2012)

    Google Scholar 

  75. Kahraman, C., Ateş, N.Y., Çevik, S., Gülbay, M.: Fuzzy multi-attribute cost-benefit analysis of e-services. Int. J. Intell. Syst. 22(5), 547–565 (2007)

    Article  Google Scholar 

  76. Kahraman, C., Tolga, E., Ulukan, Z.: Justification of manufacturing technologies using fuzzy benefit/cost ratio analysis. Int. J. Prod. Econ. 66(1), 45–52 (2000)

    Article  Google Scholar 

  77. Dompere, K.K.: Cost-benefit analysis, benefit accounting and fuzzy decisions. (II). A hypothetical application to mental illness. Fuzzy Sets Syst. 100(1–3), 101–116 (1998)

    Article  Google Scholar 

  78. Dompere, K.K.: The theory of approximate prices: Analytical foundations of experimental cost-benefit analysis in a fuzzy-decision space. Fuzzy Sets Syst. 87(1), 1–26 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  79. Wang, M., Liang, G.: Benefit/cost analysis using fuzzy concept. Eng. Econ. 40(4), 359–376 (1995)

    Article  Google Scholar 

  80. Xu, LD.: Fuzzy multiobjective mathematical programming’s application. In: Cost-Benefit Analysis. Proceedings of the 1986 IEEE International Conference on Systems, Man and Cybernetics; Atlanta, GA, pp. 638–643 (1986)

    Google Scholar 

  81. Aydin, S., Kahraman, C., Kabak, M.: Evaluation of investment alternatives using present value analysis with simplified neutrosophic sets. Eng. Econ. 29(3), 254–263 (2018)

    Article  Google Scholar 

  82. Ustundag, A., Cevikcan, E.: A fuzzy inference system for net present value analysis of construction projects. Paper presented at the World Scientific Proceedings Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf, pp. 783–787 (2012)

    Google Scholar 

  83. Sari, I.U., Kuchta, D.: Fuzzy global sensitivity analysis of fuzzy net present value. Control and Cybern. 41(2), 481–496 (2012)

    MathSciNet  MATH  Google Scholar 

  84. Shahriari, M.: Mapping fuzzy approach in engineering economics. Int. Res. J. Finance Econ. 81, 6–12 (2011)

    Google Scholar 

  85. Komolavanij, S., Rogers, K.J.: Performing cash flow analysis with fuzzy data. J. Eng. Valuation Cost Anal. 2(6), 425–435 (2000)

    Google Scholar 

  86. Kahraman, C., Beskese, A., Ruan, D.: Measuring flexibility of computer integrated manufacturing systems using fuzzy cash flow analysis. Inf. Sci. 168(1–4), 77–94 (2004)

    Article  MATH  Google Scholar 

  87. Çetin, N., Kahraman, C.: Fuzzy future value and annual cash flow analyses. In: Zhong, N., Skowron, A., Ohsuga, S. (eds.) New Directions in Rough Sets, Data Mining, and Granular-Soft Computing. RSFDGrC 1999. LNCS, vol. 1711, pp. 266–270. Springer, Heidelberg (1999)

    Chapter  Google Scholar 

  88. Boussabaine, A.H., Elhag, T.: Applying fuzzy techniques to cash flow analysis. Constr. Manage. Econ. 17(6), 745–755 (1999)

    Article  Google Scholar 

  89. Karsak, E.: Measures of liquidity risk supplementing fuzzy discounted cash flow analysis. Eng. Econ. 43(4), 331–344 (1998)

    Article  Google Scholar 

  90. Chiu, C., Park, C.S.: Fuzzy cash flow analysis using present worth criterion. Eng. Econ. 39(2), 113–138 (1994)

    Article  Google Scholar 

  91. Ward, T.L.: Discounted fuzzy cash flow analysis. In: 1985 Fall Industrial Engineering Conference Proceedings, pp. 476–481 (1985)

    Google Scholar 

  92. Kahraman, C., Oztaysi, B., Onar, S.C.: Annual cash flow analysis using hesitant fuzzy sets. In: 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2015)

    Google Scholar 

  93. Kahraman, C., Demircan, M.L.: Fuzzy replacement analysis. In: Kahraman C (ed) Fuzzy Engineering Economics with Applications, pp. 145–158 (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Eda Boltürk .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Boltürk, E. (2021). Engineering Economics Using Fuzzy Sets: A Literature Review. In: Kahraman, C., Cevik Onar, S., Oztaysi, B., Sari, I., Cebi, S., Tolga, A. (eds) Intelligent and Fuzzy Techniques: Smart and Innovative Solutions. INFUS 2020. Advances in Intelligent Systems and Computing, vol 1197. Springer, Cham. https://doi.org/10.1007/978-3-030-51156-2_195

Download citation

Publish with us

Policies and ethics