How to cite this paper
Yanmaz, O & Asan, U. (2024). A novel scenario planning approach considering criteria interaction in multi-criteria evaluation: An application to urban mobility.Decision Science Letters , 13(2), 461-470.
Refrences
Amer, M., Daim, T. U., & Jetter, A. (2013). A review of scenario planning. Futures, 46, 23–40. https://doi.org/10.1016/j.futures.2012.10.003
Behling, O., Gifford, W. E., & Tolliver, J. M. (1980). Effects of grouping information on decision making under risk. Decision Sciences, 11(2), 272–283.
Bood, R., & Postma, T. (1997). Strategic learning with scenarios. European Management Journal, 15(6), 633–647.
Choquet, G. (1954). Theory of capacities. Annales de l’institut Fourier, 5, 131–295.
De Kluyver, C. A., & Moskowitz, H. (1984). Assessing scenario probabilities via interactive goal programming. Management Science, 30(3), 273–278.
Enoch, M. P., Cross, R., Potter, N., Davidson, C., Taylor, S., Brown, R., Huang, H., Parsons, J., Tucker, S., & Wynne, E. (2020). Future local passenger transport system scenarios and implications for policy and practice. Transport Policy, 90, 52–67.
Gausemeier, J., Fink, A., & Schlake, O. (1998). Scenario Management: An Approach to Develop Future Potentials. Technological Forecasting and Social Change, 59(2), 111–130. https://doi.org/10.1016/S0040-1625(97)00166-2
Grabisch, M. (1995). Fuzzy integral in multicriteria decision making. Fuzzy Sets and Systems, 69(3), 279–298.
Kadaifci, C., Asan, U., & Bozdag, E. (2020). A new 2-additive Choquet integral based approach to qualitative cross-impact analysis considering interaction effects. Technological Forecasting and Social Change, 158, 120131.
Leszczyński, K., Penczek, P., & Grochulski, W. (1985). Sugeno’s fuzzy measure and fuzzy clustering. Fuzzy Sets and Systems, 15(2), 147–158.
Lord, S., Helfgott, A., & Vervoort, J. M. (2016). Choosing diverse sets of plausible scenarios in multidimensional exploratory futures techniques. Futures, 77, 11–27.
Mazzorana, B., Hübl, J., & Fuchs, S. (2009). Improving risk assessment by defining consistent and reliable system scenarios. Natural Hazards and Earth System Sciences, 9(1), 145–159.
Mohamed, M. A., & Xiao, W. (2003). Q-measures: An efficient extension of the Sugeno/spl lambda/-measure. IEEE Transactions on Fuzzy Systems, 11(3), 419–426.
Prasetyo, H., & Purwarianti, A. (2014). Comparison of distance and dissimilarity measures for clustering data with mix attribute types. 2014 The 1st International Conference on Information Technology, Computer, and Electrical Engineering, 276–280.
Ramírez, R., & Selin, C. (2014). Plausibility and probability in scenario planning. Foresight.
Ridaoui, M., & Grabisch, M. (2016). Choquet integral calculus on a continuous support and its applications.
Schoemaker, P. J. H. (1995). Scenario planning: A tool for strategic thinking. Sloan Management Review, 36(2), 25–50.
Seeve, T., & Vilkkumaa, E. (2022). Identifying and visualizing a diverse set of plausible scenarios for strategic planning. European Journal of Operational Research, 298(2), 596–610.
Shieh, J.-I., Wu, H.-H., & Liu, H.-C. (2009). Applying a complexity-based Choquet integral to evaluate students’ performance. Expert Systems with Applications, 36(3), 5100–5106.
Stead, D., & Banister, D. (2003). Transport policy scenario-building. Transportation Planning and Technology, 26(6), 513–536.
Stojanović, M., Mitković, P., & Mitković, M. (2014). The scenario method in urban planning. Facta Universitatis-Series: Architecture and Civil Engineering, 12(1), 81–95.
Sugeno, M. (1974). Theory of fuzzy integrals and its applications. Doct. Thesis, Tokyo Institute of Technology.
Sugeno, M. (1977). Fuzzy measures and fuzzy integrals, A survey, Fuzzy Automata and Decision Processes (MM Gupta, GN Saridis and BR Gaines, eds.). Am-Sterdam: North-Holland, 89–102.
Tietje, O. (2005). Identification of a small reliable and efficient set of consistent scenarios. European Journal of Operational Research, 162(2), 418–432.
Behling, O., Gifford, W. E., & Tolliver, J. M. (1980). Effects of grouping information on decision making under risk. Decision Sciences, 11(2), 272–283.
Bood, R., & Postma, T. (1997). Strategic learning with scenarios. European Management Journal, 15(6), 633–647.
Choquet, G. (1954). Theory of capacities. Annales de l’institut Fourier, 5, 131–295.
De Kluyver, C. A., & Moskowitz, H. (1984). Assessing scenario probabilities via interactive goal programming. Management Science, 30(3), 273–278.
Enoch, M. P., Cross, R., Potter, N., Davidson, C., Taylor, S., Brown, R., Huang, H., Parsons, J., Tucker, S., & Wynne, E. (2020). Future local passenger transport system scenarios and implications for policy and practice. Transport Policy, 90, 52–67.
Gausemeier, J., Fink, A., & Schlake, O. (1998). Scenario Management: An Approach to Develop Future Potentials. Technological Forecasting and Social Change, 59(2), 111–130. https://doi.org/10.1016/S0040-1625(97)00166-2
Grabisch, M. (1995). Fuzzy integral in multicriteria decision making. Fuzzy Sets and Systems, 69(3), 279–298.
Kadaifci, C., Asan, U., & Bozdag, E. (2020). A new 2-additive Choquet integral based approach to qualitative cross-impact analysis considering interaction effects. Technological Forecasting and Social Change, 158, 120131.
Leszczyński, K., Penczek, P., & Grochulski, W. (1985). Sugeno’s fuzzy measure and fuzzy clustering. Fuzzy Sets and Systems, 15(2), 147–158.
Lord, S., Helfgott, A., & Vervoort, J. M. (2016). Choosing diverse sets of plausible scenarios in multidimensional exploratory futures techniques. Futures, 77, 11–27.
Mazzorana, B., Hübl, J., & Fuchs, S. (2009). Improving risk assessment by defining consistent and reliable system scenarios. Natural Hazards and Earth System Sciences, 9(1), 145–159.
Mohamed, M. A., & Xiao, W. (2003). Q-measures: An efficient extension of the Sugeno/spl lambda/-measure. IEEE Transactions on Fuzzy Systems, 11(3), 419–426.
Prasetyo, H., & Purwarianti, A. (2014). Comparison of distance and dissimilarity measures for clustering data with mix attribute types. 2014 The 1st International Conference on Information Technology, Computer, and Electrical Engineering, 276–280.
Ramírez, R., & Selin, C. (2014). Plausibility and probability in scenario planning. Foresight.
Ridaoui, M., & Grabisch, M. (2016). Choquet integral calculus on a continuous support and its applications.
Schoemaker, P. J. H. (1995). Scenario planning: A tool for strategic thinking. Sloan Management Review, 36(2), 25–50.
Seeve, T., & Vilkkumaa, E. (2022). Identifying and visualizing a diverse set of plausible scenarios for strategic planning. European Journal of Operational Research, 298(2), 596–610.
Shieh, J.-I., Wu, H.-H., & Liu, H.-C. (2009). Applying a complexity-based Choquet integral to evaluate students’ performance. Expert Systems with Applications, 36(3), 5100–5106.
Stead, D., & Banister, D. (2003). Transport policy scenario-building. Transportation Planning and Technology, 26(6), 513–536.
Stojanović, M., Mitković, P., & Mitković, M. (2014). The scenario method in urban planning. Facta Universitatis-Series: Architecture and Civil Engineering, 12(1), 81–95.
Sugeno, M. (1974). Theory of fuzzy integrals and its applications. Doct. Thesis, Tokyo Institute of Technology.
Sugeno, M. (1977). Fuzzy measures and fuzzy integrals, A survey, Fuzzy Automata and Decision Processes (MM Gupta, GN Saridis and BR Gaines, eds.). Am-Sterdam: North-Holland, 89–102.
Tietje, O. (2005). Identification of a small reliable and efficient set of consistent scenarios. European Journal of Operational Research, 162(2), 418–432.