Fuzzification - Decision Making in Terms of Uncertainty

Račić, Željko V.

Fuzzification - Decision Making in Terms of Uncertainty

ECONOMICS

Volume 6 (2018): Issue 2 (December 2018)

By:

Željko V. Račić

Open Access

|Jan 2019

References

1. Kamvysi, K., Gotzamani, K., Andronikidis, (2014). A. Capturing and prioritizing students’ requirements for course design by embedding Fuzzy-AHP and linear programming in QFD. European Journal of Operational Research, 237, pp. 1083–1094.10.1016/j.ejor.2014.02.042
Search in Google Scholar Back to article
2. Pamučar, D., Ćirović, G., Sekulović, D., Ilić, A. (2011). A new fuzzy mathematical model for multi criteria decision making: An application of fuzzy mathematical model in a SWOT analysis. Scientific Research and Essays, 6(25), 5374-5386.
Search in Google Scholar Back to article
3. Pamučar, D., Ćirović, G. (2015). The selection of transport and handling resources in logistics centres using Multi-Attributive Border Approximation area Comparison (MABAC), Expert Systems with Applications, 42, pp. 3016- 3028.10.1016/j.eswa.2014.11.057
Search in Google Scholar Back to article
4. Radojević, D., (2013). Real-Valued Realizations of Boolean Algebras are a Natural Frame for Consistent Fuzzy logic, On Fuzziness, A Homage to Lotfi Zadeh – Volume 2, SPRINGER, pp. 559-565.10.1007/978-3-642-35644-5_19
Search in Google Scholar Back to article
5. Retaei, J., Fahim, P.B.M., Tavasszy, L. (2014). Supplier selection in the airline retail industry using a funnel methodology: Conjunctive screening method and fuzzy AHP. Expert systems with applications, 41, pp. 8165-8179.10.1016/j.eswa.2014.07.005
Search in Google Scholar Back to article
6. Sanayei A., Mousavi S.F. & Yazdankhah A. (2010). Group decisionmaking process for supplier selection with VIKOR under fuzzy environment. Expert Systems with Applications, 37, pp.24-30, doi:10.1016/j.eswa.2009.04.063.10.1016/j.eswa.2009.04.063
Open DOI Search in Google Scholar Back to article
7. Srđević B., Zoranović, T. (2003). ANR in group decision making with complete and incomplete information. Collection of works SYM-OP-IS, pp. 727-730.
Search in Google Scholar Back to article
8. Seiford L. M. (1996). The evolution of the state-of-art (1978-1995). Journal of Productivity Analysis, 7, pp. 99-137.10.1007/BF00157037
Search in Google Scholar Back to article
9. Tang Y.-C., & Lin T.W. (2011). Application of the fuzzy analytic hierarchy process to the lead-free equipment selection decision. Int. J. Business and Systems Research, 5(1), pp.35-56.10.1504/IJBSR.2011.037289
Search in Google Scholar Back to article
10. Zadeh, L.A., (1963). Optimality and non-scalar-valued performance criteria, IEEE Transactions on automatic control, Vol. AC-8, No. 1.10.1109/TAC.1963.1105511
Search in Google Scholar Back to article
11. Zaras, K., (2004). Rough approximation of a preference relation by a multi-attribute dominance for deterministic, stochastic and fuzzy decision problems, European Journal of Operational Research 159.10.1016/S0377-2217(03)00391-6
Search in Google Scholar Back to article