How to cite this paper
Aikhuele, D. (2019). A model for supporting designers and for determining design stakeholders’ preferences.International Journal of Data and Network Science, 3(2), 109-118.
Refrences
Aikhuele, D. O. (2017). Interval-valued intuitionistic fuzzy multi-criteria model for design concept selection. Management Science Letters, 7, 457–466.
Aikhuele, D. O., & Turan, F. B. M. (2017). An Integrated Fuzzy Delphi and Interval-Valued Intuitionistic Fuzzy M-Topsis Model for Design Concept Selection. Pakistan Journal of Statistics and Operation Research, (2), 425–438.
Aikhuele, D. O., & Turan, F. M. (2017a). A subjective and objective fuzzy-based analytical hierarchy process model for prioritization of lean product development practices. Management Science Letters, 7, 297–310.
Aikhuele, D. O., & Turan, F. M. (2017b). An intuitionistic fuzzy multi-criteria decision-making method based on an exponential-related function. International Journal of Fuzzy System Applications, 6(4), 33–48.
Aikhuele, D. O., & Turan, F. M. (2017c). Extended TOPSIS model for solving multi-attribute decision-making problems in engineering. Decision Science Letters, 6, 365–376.
Akay, D., Kulak, O., & Henson, B. (2011). Conceptual design evaluation using interval type-2 fuzzy information axiom. Computers in Industry, 62(2), 138–146.
Atanassov, K. T. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20(1), 87–96.
Ayağ, Z., & Özdemir, R. G. (2007). An analytic network process-based approach to concept evaluation in a new product development environment. Journal of Engineering Design, 18(3), 209–226.
Chang, D.-Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(95), 649–655. http://doi.org/10.1016/0377-2217(95)00300-2
Fang, Y.-C., & Chyu, C.-C. (2014). Evaluation of New Product Development Alternatives Considering Interrelationships among Decision Criteria. Journal of Multimedia, 9(4), 611–617.
Geng, X., Chu, X., & Zhang, Z. (2010). A new integrated design concept evaluation approach based on vague sets. Expert Systems with Applications, 37(9), 6629–6638.
Justel, D., Vidal, R., Arriaga, E., Franco, V., & Val-jauregi, E. (2007). Evaluation method for selecting innovative product concepts with greater potential marketing success. International Conference on Engineering Design, (August), 1–12.
Kazmer, D., & Roser, C. (1999). Evaluation of Product and Process Design Robustness. Research in Engineering Design, 11(1), 20–30.
King, a. M., & Sivaloganathan, S. (1999). Development of a Methodology for Concept Selection in Flexible Design Strategies. Journal of Engineering Design, 10(4), 329–349.
Kumar, P., & Singh, R. K. (2012). A fuzzy AHP and TOPSIS methodology to evaluate 3PL in a supply chain. Journal of Modelling in Management, 7(3), 287–303.
Lin, M. C., Wang, C. C., Chen, M. S., & Chang, C. A. (2008). Using AHP and TOPSIS approaches in customer-driven product design process. Computers in Industry, 59(1), 17–31.
Liu, H. T. (2011). Product design and selection using fuzzy QFD and fuzzy MCDM approaches. Applied Mathematical Modelling, 35(1), 482–496.
Liu, M., & Ren, H. (2014). A New Intuitionistic Fuzzy Entropy and Application in Multi-Attribute Decision Making. Information, 5(4), 587–601.
Marini, C. D., Fatchurrohman, N., Azhari, A., & Suraya, S. (2016). Product Development using QFD, MCDM and the Combination of these Two Methods. IOP Conference Series: Materials Science and Engineering, 114, 012089.
Nikander, J. B., Liikkanen, L. A., & Laakso, M. (2014). The preference effect in design concept evaluation. Design Studies, 35(5), 473–499.
Nuseibeh, B., & Easterbrook, S. (2000). Requirements engineering: a roadmap. Proceedings of the Conference on The Future of Software Engineering - ICSE ’00, 1, 35–46.
Pugh, S. (1996). Creating innovative products using total design: The living legacy of Stuart Pugh. Reading, MA: Addison-Wesley.
Shukla, R. K., Garg, D., & Agarwal, A. (2014). An integrated approach of Fuzzy AHP and Fuzzy TOPSIS in modeling supply chain coordination. Production & Manufacturing Research : An Open Access Journal, 2(1), 415–437.
Tideman, M. (2008). Scenario-based product design.
Ulrich, K. T., & Eppinger, S. D. (2000). Product design and development. New York: McGraw-Hill.
Xu, Z., & Yager, R. R. (2006). Some geometric aggregation operators based on intuitionistic fuzzy sets. International Journal of General Systems, 35(4), 417–433.
Aikhuele, D. O., & Turan, F. B. M. (2017). An Integrated Fuzzy Delphi and Interval-Valued Intuitionistic Fuzzy M-Topsis Model for Design Concept Selection. Pakistan Journal of Statistics and Operation Research, (2), 425–438.
Aikhuele, D. O., & Turan, F. M. (2017a). A subjective and objective fuzzy-based analytical hierarchy process model for prioritization of lean product development practices. Management Science Letters, 7, 297–310.
Aikhuele, D. O., & Turan, F. M. (2017b). An intuitionistic fuzzy multi-criteria decision-making method based on an exponential-related function. International Journal of Fuzzy System Applications, 6(4), 33–48.
Aikhuele, D. O., & Turan, F. M. (2017c). Extended TOPSIS model for solving multi-attribute decision-making problems in engineering. Decision Science Letters, 6, 365–376.
Akay, D., Kulak, O., & Henson, B. (2011). Conceptual design evaluation using interval type-2 fuzzy information axiom. Computers in Industry, 62(2), 138–146.
Atanassov, K. T. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20(1), 87–96.
Ayağ, Z., & Özdemir, R. G. (2007). An analytic network process-based approach to concept evaluation in a new product development environment. Journal of Engineering Design, 18(3), 209–226.
Chang, D.-Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(95), 649–655. http://doi.org/10.1016/0377-2217(95)00300-2
Fang, Y.-C., & Chyu, C.-C. (2014). Evaluation of New Product Development Alternatives Considering Interrelationships among Decision Criteria. Journal of Multimedia, 9(4), 611–617.
Geng, X., Chu, X., & Zhang, Z. (2010). A new integrated design concept evaluation approach based on vague sets. Expert Systems with Applications, 37(9), 6629–6638.
Justel, D., Vidal, R., Arriaga, E., Franco, V., & Val-jauregi, E. (2007). Evaluation method for selecting innovative product concepts with greater potential marketing success. International Conference on Engineering Design, (August), 1–12.
Kazmer, D., & Roser, C. (1999). Evaluation of Product and Process Design Robustness. Research in Engineering Design, 11(1), 20–30.
King, a. M., & Sivaloganathan, S. (1999). Development of a Methodology for Concept Selection in Flexible Design Strategies. Journal of Engineering Design, 10(4), 329–349.
Kumar, P., & Singh, R. K. (2012). A fuzzy AHP and TOPSIS methodology to evaluate 3PL in a supply chain. Journal of Modelling in Management, 7(3), 287–303.
Lin, M. C., Wang, C. C., Chen, M. S., & Chang, C. A. (2008). Using AHP and TOPSIS approaches in customer-driven product design process. Computers in Industry, 59(1), 17–31.
Liu, H. T. (2011). Product design and selection using fuzzy QFD and fuzzy MCDM approaches. Applied Mathematical Modelling, 35(1), 482–496.
Liu, M., & Ren, H. (2014). A New Intuitionistic Fuzzy Entropy and Application in Multi-Attribute Decision Making. Information, 5(4), 587–601.
Marini, C. D., Fatchurrohman, N., Azhari, A., & Suraya, S. (2016). Product Development using QFD, MCDM and the Combination of these Two Methods. IOP Conference Series: Materials Science and Engineering, 114, 012089.
Nikander, J. B., Liikkanen, L. A., & Laakso, M. (2014). The preference effect in design concept evaluation. Design Studies, 35(5), 473–499.
Nuseibeh, B., & Easterbrook, S. (2000). Requirements engineering: a roadmap. Proceedings of the Conference on The Future of Software Engineering - ICSE ’00, 1, 35–46.
Pugh, S. (1996). Creating innovative products using total design: The living legacy of Stuart Pugh. Reading, MA: Addison-Wesley.
Shukla, R. K., Garg, D., & Agarwal, A. (2014). An integrated approach of Fuzzy AHP and Fuzzy TOPSIS in modeling supply chain coordination. Production & Manufacturing Research : An Open Access Journal, 2(1), 415–437.
Tideman, M. (2008). Scenario-based product design.
Ulrich, K. T., & Eppinger, S. D. (2000). Product design and development. New York: McGraw-Hill.
Xu, Z., & Yager, R. R. (2006). Some geometric aggregation operators based on intuitionistic fuzzy sets. International Journal of General Systems, 35(4), 417–433.