Aikhuele, D. (2017). Interval-valued intuitionistic fuzzy multi-criteria model for design concept selection. Management Science Letters, 7(9), 457-466.
Akay, D., Kulak, O., & Henson, B. (2011). Conceptual design evaluation using interval type-2 fuzzy information axiom. Computers in Industry, 62(2), 138-146.
Alarcin, F., Balin, A., & Demirel, H. (2014). Fuzzy AHP and Fuzzy TOPSIS integrated hybrid method for auxiliary systems of ship main engines. Journal of Marine Engineering & Technology, 13(1), 3-11.
Arjun Raj, A. S., & Vinodh, S. (2016). A case study on application of ORESTE for agile concept selection. Journal of Engineering, Design and Technology, 14(4), 781-801.
Baležentis, T., & Baležentis, A. (2014). A survey on development and applications of the multi‐criteria decision making method MULTIMOORA. Journal of Multi‐Criteria Decision Analysis, 21(3-4), 209-222.
Balin, A., Demirel, H., & Alarcin, F. (2016). A novel hybrid MCDM model based on fuzzy AHP and fuzzy TOPSIS for the most affected gas turbine component selection by the failures. Journal of Marine Engineering & Technology, 15(2), 69-78.
Chakraborty, K., Mondal, S., & Mukherjee, K. (2017). Analysis of product design characteristics for remanufacturing using Fuzzy AHP and Axiomatic Design. Journal of Engineering Design, 28(5), 338-368.
Derelöv, M. (2009). On Evaluation of Design Concepts: Modelling Approaches for Enhancing the Understanding of Design Solutions (Doctoral dissertation, Linköping University Electronic Press).
Girod, M., Elliott, A. C., Burns, N. D., & Wright, I. C. (2003). Decision making in conceptual engineering design: an empirical investigation. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 217(9), 1215-1228.
Green, G., & Mamtani, G. (2004). An integrated decision making model for evaluation of concept design. Acta Polytechnica, 44(3).
Hambali, A., Sapuan, S. M., Ismail, N., & Nukman, Y. (2009). Application of analytical hierarchy process in the design concept selection of automotive composite bumper beam during the conceptual design stage. Scientific Research and Essays, 4(4), 198-211.
Hambali, A., Sapuan, S. M., Rahim, A. S., Ismail, N., & Nukman, Y. (2011). Concurrent decisions on design concept and material using analytical hierarchy process at the conceptual design stage. Concurrent Engineering, 19(2), 111-121.
Muller, G. (2009). Concept selection: theory and practice. White paper of SESG meeting. sl: Buskerud University College.
Muller, G., D. Klever, H. H. Bjørnsen & M. Pennotti (2011). Researching the application of Pugh Matrix in the sub-sea equipment industry by. CSER.
Nieto-Morote, A., & Ruz-Vila, F. (2011). A fuzzy AHP multi-criteria decision-making approach applied to combined cooling, heating, and power production systems. International Journal of Information Technology & Decision Making, 10(03), 497-517.
Okudan, G. E. & R. A. Shirwaiker (2006). A multi-stage problem formulation for concept selection for improved product design. 2006 Technology Management for the Global Future-PICMET 2006 Conference, IEEE.
Okudan, G. E., & Tauhid, S. (2008). Concept selection methods–a literature review from 1980 to 2008. International Journal of Design Engineering, 1(3), 243-277.
Olabanji, O. M. (2018). Reconnoitering the suitability of fuzzified weighted decision matrix for design process of a reconfigurable assembly fixture. International Journal of Design Engineering, 8(1), 38-56.
Olabanji, O. M., & Mpofu, K. (2014). Comparison of weighted decision matrix, and analytical hierarchy process for CAD design of reconfigurable assembly fixture. Procedia CIRP, 23, 264-269.
Renzi, C., Leali, F., & Di Angelo, L. (2017). A review on decision-making methods in engineering design for the automotive industry. Journal of Engineering Design, 28(2), 118-143.
Renzi, C., Leali, F., Pellicciari, M., Andrisano, A. O., & Berselli, G. (2015). Selecting alternatives in the conceptual design phase: an application of Fuzzy-AHP and Pugh’s Controlled Convergence. International Journal on Interactive Design and Manufacturing (IJIDeM), 9(1), 1-17.
Sa'Ed, M. S., & Al-Harris, M. Y. (2014). New product concept selection: an integrated approach using data envelopment analysis (DEA) and conjoint analysis (CA). International Journal of Engineering & Technology, 3(1), 44.
Saridakis, K. M., & Dentsoras, A. J. (2008). Soft computing in engineering design–A review. Advanced Engineering Informatics, 22(2), 202-221.
Singh, P. (2015). A Novel Method for Ranking Generalized Fuzzy Numbers. Journal of Information Science Engineering, 31(4), 1373-1385..
Somsuk, N., & Simcharoen, C. (2011). A fuzzy AHP approach to prioritization of critical success factors for six sigma implementation: Evidence from the electronics industry in thailand. International Journal of Modeling and Optimization, 1(5), 432-437.
Thorani, Y. L. P., Rao, P. P. B., & Shankar, N. R. (2012). Ordering generalized trapezoidal fuzzy numbers using orthocentre of centroids. International Journal of Algebra, 6(22), 1069-1085.
Tian, J., & Yan, Z. F. (2013). Fuzzy analytic hierarchy process for risk assessment to general-assembling of satellite. Journal of applied research and technology, 11(4), 568-577.
Toh, C. A., & Miller, S. R. (2015). How engineering teams select design concepts: A view through the lens of creativity. Design Studies, 38, 111-138.
Velu, L. G. N., Selvaraj, J., & Ponnialagan, D. (2017). A new ranking principle for ordering trapezoidal intuitionistic fuzzy numbers. Complexity, 2017.
Zamani, S., Farughi, H., & Soolaki, M. (2014). Contractor selection using fuzzy hybrid AHP-VIKOR. International Journal of Research in Industrial Engineering, 2(4), 26-40.