How to cite this paper
Aikhuele, D. (2017). Interval-valued intuitionistic fuzzy multi-criteria model for design concept selection.Management Science Letters , 7(9), 457-466.
Refrences
Aikhuele, D. O., & Turan, F. B. M. (2016a). An Improved Methodology for Multi-criteria Evaluations in the Shipping Industry. Brodogradnja/Shipbuilding, 67(3), 59–72.
Aikhuele, D. O., & Turan, F. B. M. (2016). Intuitionistic fuzzy-based model for failure detection. SpringerPlus, 5(1), 1–15. http://doi.org/10.1186/s40064-016-3446-0
Aikhuele, D. O., & Turan, F. M. (2016b). An Interval Fuzzy-Valued M-TOPSIS Model for Design Concept Selection. In The National Conference for Postgraduate Research 2016, Universiti Malaysia Pahang (pp. 374–384).
Aikhuele, D. O., & Turan, F. M. (2017). A modified exponential score function for troubleshooting an improved locally made Offshore Patrol Boat engine. Journal of Marine Engineering & Technology, (February). http://doi.org/10.1080/20464177.2017.1286841
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). 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.
Badizadeh, A., & Khanmohammadi, S. (2011). Developing a Fuzzy model for assessment and selection of the best idea of new product development. Indian Journal of Science and Technology, 4(12), 1749–1762.
Bai, Z. (2013). An Interval-Valued Intuitionistic Fuzzy TOPSIS Method Based on an Improved Score Function. The Scientific World Journal, 2013, 1–9. http://doi.org/10.1155/2013/879089
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
Chen, S. M., & Chiou, C. H. (2015). A new method for multiattribute decision making based on interval-valued intuitionistic fuzzy sets, PSO techniques, and evidential reasoning methodology. Proceedings - International Conference on Machine Learning and Cybernetics, 1(6), 403–409.
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.
Huang, Y.-S., Liu, L.-C., & Ho, J.-W. (2015). Decisions on new product development under uncertainties. International Journal of Systems Science, 46(6), 1010–1019.
Jahromi, M. K. (2012). Multiattribute decision-making models and methods using intuitionistic fuzzy sets. International Mathematical Forum, 7(57), 2847–2851.
Jenab, K., Sarfaraz, A., & Ameli, M. T. (2013). A Fuzzy conceptual design selection model considering conflict resolution. Journal of Engineering Design, 24(4), 293–304.
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.
Li, D.-F. (2005). Multiattribute decision-making models and methods using intuitionistic fuzzy sets. Journal of Computer and System Sciences, 70(1), 73–85. http://doi.org/10.1016/j.jcss.2004.06.002
Lin, L., Yuan, X. H., & Xia, Z. Q. (2007). Multicriteria fuzzy decision-making methods based on intuitionistic fuzzy sets. Journal of Computer and System Sciences, 73(1), 84–88.
Liu, H. T. (2011). Product design and selection using fuzzy QFD and fuzzy MCDM approaches. Applied Mathematical Modelling, 35(1), 482–496. http://doi.org/10.1016/j.apm.2010.07.014
Liu, M., & Ren, H. (2014). A New Intuitionistic Fuzzy Entropy and Application in Multi-Attribute Decision Making. Information, 5(4), 587–601. http://doi.org/10.3390/info5040587
Lo, C. C., Wang, P., & Chao, K. M. (2006). A fuzzy group-preferences analysis method for new-product development. Expert Systems with Applications, 31(4), 826–834.
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. http://doi.org/10.1088/1757-899X/114/1/012089
Pugh, S. (1996). Creating innovative products using total design: The living legacy of Stuart Pugh. Reading, MA: Addison-Wesley.
Ren, L., Zhang, Y., Wang, Y., & Sun, Z. (2007). Comparative analysis of a novel M-TOPSIS method and TOPSIS. Applied Mathematics Research eXpress, 2007, 1–10.
Ulrich, K. T., & Eppinger, S. D. (2000). Product design and development. New York: McGraw-Hill.
Wang, Z. J., & Li, K. W. (2012). An interval-valued intuitionistic fuzzy multiattribute group decision-making framework with incomplete preference over alternatives. Expert Systems with Applications, 39(18), 13509–13516.
Xu, Z. (2014). Intuitionistic preference modeling and interactive decision making. In Studies in Fuzziness and Soft Computing (pp. 195–223).
Ye, J. (2009). Multicriteria fuzzy decision-making method based on a novel accuracy function under interval-valued intuitionistic fuzzy environment. Expert Systems with Applications, 36(3), 6899–6902.
Zhai, L. Y., Khoo, L. P., & Zhong, Z. W. (2009). Design concept evaluation in product development using rough sets and grey relation analysis. Expert Systems with Applications, 36(3 PART 2), 7072–7079.
Aikhuele, D. O., & Turan, F. B. M. (2016). Intuitionistic fuzzy-based model for failure detection. SpringerPlus, 5(1), 1–15. http://doi.org/10.1186/s40064-016-3446-0
Aikhuele, D. O., & Turan, F. M. (2016b). An Interval Fuzzy-Valued M-TOPSIS Model for Design Concept Selection. In The National Conference for Postgraduate Research 2016, Universiti Malaysia Pahang (pp. 374–384).
Aikhuele, D. O., & Turan, F. M. (2017). A modified exponential score function for troubleshooting an improved locally made Offshore Patrol Boat engine. Journal of Marine Engineering & Technology, (February). http://doi.org/10.1080/20464177.2017.1286841
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). 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.
Badizadeh, A., & Khanmohammadi, S. (2011). Developing a Fuzzy model for assessment and selection of the best idea of new product development. Indian Journal of Science and Technology, 4(12), 1749–1762.
Bai, Z. (2013). An Interval-Valued Intuitionistic Fuzzy TOPSIS Method Based on an Improved Score Function. The Scientific World Journal, 2013, 1–9. http://doi.org/10.1155/2013/879089
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
Chen, S. M., & Chiou, C. H. (2015). A new method for multiattribute decision making based on interval-valued intuitionistic fuzzy sets, PSO techniques, and evidential reasoning methodology. Proceedings - International Conference on Machine Learning and Cybernetics, 1(6), 403–409.
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.
Huang, Y.-S., Liu, L.-C., & Ho, J.-W. (2015). Decisions on new product development under uncertainties. International Journal of Systems Science, 46(6), 1010–1019.
Jahromi, M. K. (2012). Multiattribute decision-making models and methods using intuitionistic fuzzy sets. International Mathematical Forum, 7(57), 2847–2851.
Jenab, K., Sarfaraz, A., & Ameli, M. T. (2013). A Fuzzy conceptual design selection model considering conflict resolution. Journal of Engineering Design, 24(4), 293–304.
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.
Li, D.-F. (2005). Multiattribute decision-making models and methods using intuitionistic fuzzy sets. Journal of Computer and System Sciences, 70(1), 73–85. http://doi.org/10.1016/j.jcss.2004.06.002
Lin, L., Yuan, X. H., & Xia, Z. Q. (2007). Multicriteria fuzzy decision-making methods based on intuitionistic fuzzy sets. Journal of Computer and System Sciences, 73(1), 84–88.
Liu, H. T. (2011). Product design and selection using fuzzy QFD and fuzzy MCDM approaches. Applied Mathematical Modelling, 35(1), 482–496. http://doi.org/10.1016/j.apm.2010.07.014
Liu, M., & Ren, H. (2014). A New Intuitionistic Fuzzy Entropy and Application in Multi-Attribute Decision Making. Information, 5(4), 587–601. http://doi.org/10.3390/info5040587
Lo, C. C., Wang, P., & Chao, K. M. (2006). A fuzzy group-preferences analysis method for new-product development. Expert Systems with Applications, 31(4), 826–834.
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. http://doi.org/10.1088/1757-899X/114/1/012089
Pugh, S. (1996). Creating innovative products using total design: The living legacy of Stuart Pugh. Reading, MA: Addison-Wesley.
Ren, L., Zhang, Y., Wang, Y., & Sun, Z. (2007). Comparative analysis of a novel M-TOPSIS method and TOPSIS. Applied Mathematics Research eXpress, 2007, 1–10.
Ulrich, K. T., & Eppinger, S. D. (2000). Product design and development. New York: McGraw-Hill.
Wang, Z. J., & Li, K. W. (2012). An interval-valued intuitionistic fuzzy multiattribute group decision-making framework with incomplete preference over alternatives. Expert Systems with Applications, 39(18), 13509–13516.
Xu, Z. (2014). Intuitionistic preference modeling and interactive decision making. In Studies in Fuzziness and Soft Computing (pp. 195–223).
Ye, J. (2009). Multicriteria fuzzy decision-making method based on a novel accuracy function under interval-valued intuitionistic fuzzy environment. Expert Systems with Applications, 36(3), 6899–6902.
Zhai, L. Y., Khoo, L. P., & Zhong, Z. W. (2009). Design concept evaluation in product development using rough sets and grey relation analysis. Expert Systems with Applications, 36(3 PART 2), 7072–7079.