Boran, F. E., Genç, S., Kurt, M., & Akay, D. (2009). A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Systems with Applications, 36(8), 11363–11368.
Chen, S., Tai, K., & Li, Z. (2016). Evaluation of supply chain resilience enhancement with multi-tier supplier selection policy using agent-based modeling. In 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 124–128).
Chou, C.-C. (2003). The canonical representation of multiplication operation on triangular fuzzy numbers. Computers & Mathematics with Applications, 45(10–11), 1601–1610.
Soosay, C. A., & Hyland, P. (2015). A decade of supply chain collaboration and directions for future research. Supply Chain Management: An International Journal, 20(6), 613-630.
Edwards, W. (2013). Utility theories: Measurements and applications (Vol. 3). Springer Science & Business Media.
Emmett, S., & Crocker, B. (2016). The Relationship-Driven Supply Chain: Creating a Culture of Collaboration Throughout the Chain. CRC Press.
Faratin, P., Sierra, C., & Jennings, N. R. (1998). Negotiation decision functions for autonomous agents. Robotics and Autonomous Systems, 24(3–4), 159–182.
Ghadimi, P., Ghassemi Toosi, F., & Heavey, C. (2018). A multi-agent systems approach for sustainable supplier selection and order allocation in a partnership supply chain. European Journal of Operational Research, 269(1), 286–301. https://doi.org/10.1016/j.ejor.2017.07.014
Ghadimi, P., & Heavey, C. (2013). A Review of Applications of Agent-Based Modelling and Simulation in Supplier Selection Problem (pp. 101–107). IEEE.
Ghodsypour, S. H., & O’Brien, C. (1998). A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming. International Journal of Production Economics, 56, 199–212.
Harland, C., Knight, L., Lamming, R., & Walker, H. (2005). Outsourcing: assessing the risks and benefits for organisations, sectors and nations. International Journal of Operations & Production Management, 25(9), 831–850.
Hernández, J. E., Poler, R., Mula, J., & Lario, F. C. (2011). The Reverse Logistic Process of an Automobile Supply Chain Network Supported by a Collaborative Decision-Making Model. Group Decision and Negotiation, 20(1), 79–114.
Jahani, A., Azmi Murad, M. A., bin Sulaiman, M. N., & Selamat, M. H. (2015). An agent-based supplier selection framework: Fuzzy case-based reasoning perspective. Strategic Outsourcing: An International Journal, 8(2/3), 180–205.
Kembro, J., & Selviaridis, K. (2015). Exploring information sharing in the extended supply chain: an interdependence perspective. Supply Chain Management: An International Journal, 20(4), 455-470.
Lai, G., & Sycara, K. (2009). A generic framework for automated multi-attribute negotiation. Group Decision and Negotiation, 18(2), 169.
Mikhailov, L. (2002). Fuzzy analytical approach to partnership selection in formation of virtual enterprises. Omega, 30(5), 393–401.
Montoya-Torres, J. R., & Ortiz-Vargas, D. A. (2014). Collaboration and information sharing in dyadic supply chains: A literature review over the period 2000–2012. Estudios Gerenciales, 30(133), 343–354.
Narasimhan, R. (1983). An analytical approach to supplier selection. Journal of Supply Chain Management, 19(4), 27–32.
O’Hare, G. M. P., Jennings, N. R., & Jennings, N. (1996). Foundations of Distributed Artificial Intelligence. John Wiley & Sons.
Pourabdollahi, Z., Karimi, B., Mohammadian, K., & Kawamura, K. (2017). A hybrid agent-based computational economics and optimization approach for supplier selection problem. International Journal of Transportation Science and Technology, 6(4), 344–355.
Schäfer, R. (2001). Rules for using multi-attribute utility theory for estimating a user’s interests. In Ninth Workshop Adaptivität und Benutzermodellierung in Interaktiven Softwaresystemen (pp. 8–10).
Valluri, A., & Croson, D. C. (2005). Agent learning in supplier selection models. Decision Support Systems, 39(2), 219–240.
Wooldridge, M., & Jennings, N. R. (1995). Agent theories, architectures, and languages: A survey. In M. J. Wooldridge & N. R. Jennings (Eds.), Intelligent Agents (pp. 1–39). Springer Berlin Heidelberg.
Yang, F.-C., & Kao, S.-L. (2009). An Agent Gaming and Genetic Algorithm Hybrid Method for Factory Location Setting and Factory/Supplier Selection Problems. Industrial Engineering & Management Systems, 8(4), 228–238.
Yao, J. M. (2017). Supply chain resources integration optimisation in B2C online shopping. International Journal of Production Research, 55(17), 5079–5094.
Yu, C., Wong, T. N., & Li, Z. (2017). A hybrid multi-agent negotiation protocol supporting supplier selection for multiple products with synergy effect. International Journal of Production Research, 55(1), 18–37.
Zair, F., Sefiani, N., & Fourka, M. (2018). Advanced optimization model of resource allocation in B2C supply chain. Engineering Review : Međunarodni Časopis Namijenjen Publiciranju Originalnih Istraživanja s Aspekta Analize Konstrukcija, Materijala i Novih Tehnologija u Području Strojarstva, Brodogradnje, Temeljnih Tehničkih Znanosti, Elektrotehnike, Računarstva i Građevinarstva, 38(3), 328–337.