Abstract
Fuzzy systems in innovation and sustainability are important topics in literature nowadays. A lot of new formulations in fuzzy systems are being made including interesting applications in different topics. The aim of this special issue is to present different works made in this line of research that were presented in the IV International Congress of Innovation and Sustainability (ICONIS).
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References
Alfaro-Calderón GG, Godínez-Reyes NL, Gómez-Monge R, Alfaro-García V, Gil-Lafuente AM (2019) Forgotten effects in the valuation of the social well-being index in mexico’s sustainable development. Fuzzy Econ Rev. https://doi.org/10.25102/fer.2019.01.04
Alfaro-Calderón GG, Zaragoza A, Alfaro-García VG, Gil-Lafuente AM (2020) Innovation capabilities and innovation systems: a forgotten effects analysis of their components. Advances in intelligent systems and computing. Springer, Cham, pp 51–62
Alfaro-García VG (2020) Toma de decisiones en la incertidumbre: Técnicas y herramientas ante escenarios altamente desafiantes. Inquietud Empresarial 19(2):I–III
Alfaro-García VG, Gil-Lafuente AM, Alfaro-Calderón GG (2017) A fuzzy methodology for innovation management measurement. Kybernetes 46(1):50–66
Alfaro-García VG, Merigó JM, Pedrycz W, Gómez Monge R (2020) Citation analysis of fuzzy set theory journals: Bibliometric insights about authors and research areas. Int J Fuzzy Syst 22:2414–2448. https://doi.org/10.1007/s40815-020-00924-8
Blanco-Mesa Fabio (2020) La ciencia de la decisión. Rev UIS Ing. https://doi.org/10.18273/revuin.v19n2-2020020
Blanco-Mesa F, Merigó JM, Gil-Lafuente AM (2017) Fuzzy decision making: A bibliometric-based review. J Intell Fuzzy Syst 32(3):2033–2050
Blanco-Mesa F, Gil-Lafuente AM, Merigó JM (2018) Subjective stakeholder dynamics relationships treatment: A methodological approach using fuzzy decision-making. Comput Math Organ Theory 24(4):441–472. https://doi.org/10.1007/s10588-018-09284-z
Blanco-Mesa Fabio, Leon-Castro E, Bermudez-Mondragon D, Castro-Amado M (2021) Forgotten motivational factors of boyacense Colombian entrepreneurs: a subjective analysis of second-generation incidences. Mathematics. https://doi.org/10.3390/math9090973
Branson R (1988) An audience with innovation: Innovation in management. Department of Trade and Industry, Great Britain
Cancino CA, Merigo JM, Coronado FC (2017) Big names in innovation research: A bibliometric overview. Curr Sci 113(08):1507
Chan FTS, Qi HJ (2003) An innovative performance measurement method for supply chain management. Supply Chain Manag 8(3):209–223. https://doi.org/10.1108/13598540310484618
Ciric S, Sedlak MH, Kleut. (2019) Innovation model of agricultural technologies based on intuitionistic fuzzy sets. Sustainability 11(19):5457. https://doi.org/10.3390/su11195457
Fonseca-Cifuentes G, Leon-Castro E, Blanco-Mesa F (2021) Predicting the future price of a commodity using the OWMA operator: An approximation of the interest rate and inflation in the brown pastusa potato price. J Intell Fuzzy Syst. https://doi.org/10.3233/JIFS-189200
Frambach RT, Fiss PC, Ingenbleek PTM (2016) How important is customer orientation for firm performance? A fuzzy set analysis of orientations, strategies, and environments. J Bus Res 69(4):1428–1436. https://doi.org/10.1016/j.jbusres.2015.10.120
García-Orozco D, Espitia-Moreno IC, Alfaro-García VG, Merigó JM (2020) Sustainability in Mexico a bibliometric analysis of the scientific research field presented in the last 28 years. Inquietud Empresarial 20(2):101–120
Gil-Lafuente Anna M (2005) Fuzzy logic in financial analysis, vol 175. Springer-Verlag, New York
Gil-Lafuente AM (2005) Fuzzy logic in financial analysis, vol 175. Springer-Verlag, New York
Jang JSR (1993) ANFIS: Adaptive-network-based fuzzy inference system. IEEE Trans Syst Man Cybern 23(3):665–685. https://doi.org/10.1109/21.256541
Kahraman C, Öztayşi B, Çevik Onar S (2016) A comprehensive literature review of 50 years of fuzzy set theory. Int J Comput Intell Syst 9(sup1):3–24. https://doi.org/10.1080/18756891.2016.1180817
Kim J, Wilemon D (2002) Focusing the fuzzy front–end in new product development. RandD Management 32(4):269–279. https://doi.org/10.1111/1467-9310.00259
Lee CC (1990) Fuzzy logic in control systems: Fuzzy logic controller—Part I. IEEE Trans Syst Man Cybern 20(2):404–418. https://doi.org/10.1109/21.52551
León-Castro E, Avilés-Ochoa E, Merigó JM (2017) Induced heavy moving averages. Int J Intell Syst. https://doi.org/10.1002/int.21916
Liang Q, Mendel JM (2000) Interval type-2 fuzzy logic systems: Theory and design. IEEE Trans Fuzzy Syst 8(5):535–550. https://doi.org/10.1109/91.873577
Meadows D (1972) Limits to growth. Universe Books, Indiana
Merigó JM, Cancino CA, Coronado F, Urbano D (2016) Academic research in innovation: A country analysis. Scientometrics 108(2):559–593
Perez-Arellano LA, Blanco-Mesa F, Leon-Castro E, Alfaro-Garcia V (2020) Bonferroni prioritized aggregation operators applied to government transparency. Mathematics 9(1):24. https://doi.org/10.3390/math9010024
Phillis YA, Andriantiatsaholiniaina LA (2001) Sustainability: An ill-defined concept and its assessment using fuzzy logic. Ecol Econ 37(3):435–456. https://doi.org/10.1016/S0921-8009(00)00290-1
Rockstrom J, Steffen W, Noone K, Persson A, Chapin F, Stuart I, Lambin E, Lenton TM, Scheffer M, Folke C, Schellnhuber HJ, Nykvist B, de Wit CA, Hughes T, van der Leeuw S, Rodhe H, Sorlin S, Snyder PK, Costanza R, Svedin U, Foley J (2009) Planetary boundaries: exploring the safe operating space for humanity. Ecol Soc 14(2):32
Sheu JB (2007) An emergency logistics distribution approach for quick response to urgent relief demand in disasters. Transp Res E Logist Transp Rev 43(6):687–709. https://doi.org/10.1016/j.tre.2006.04.004
Simon D (1987) Our common future: report of the world commission on environment and development (book review). Third World Plan Rev 9(3):285
Smith A, Voß JP, Grin J (2010) Innovation studies and sustainability transitions: The allure of the multi-level perspective and its challenges. Res Policy 39(4):435–448
Takagi T, Sugeno M (1985) Fuzzy identification of systems and its applications to modeling and control. IEEE Trans Syst Man Cybern 15(1):116–132. https://doi.org/10.1109/TSMC.1985.6313399
Nations, U. (2021). Sustainable Development Goals. 17 Goals to Transform Our World.
Xie XL, Beni G (1991) A validity measure for fuzzy clustering. IEEE Trans Pattern Anal Mach Intell 13(8):841–847. https://doi.org/10.1109/34.85677
Yadegaridehkordi E, Hourmand M, Nilashi M, Alsolami E, Samad S, Mahmoud M, Alarood AA, Zainol A, Majeed HD, Shuib L (2020) Assessment of sustainability indicators for green building manufacturing using fuzzy multi-criteria decision making approach. J Clean Prod 277:122905
Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353. https://doi.org/10.1016/S0019-9958(65)90241-X
Acknowledgements
We would like to thank the Red Iberoamericana de Competitividad, Innovacion y Desarrollo (REDCID), specially the members of the project number 616RT0515 for their help that has been essential for the realization of the congress. We also like to acknowledge all the reviewers for their support in the evaluation of the papers submitted to this special issue. Finally, Author Leon-Castro acknowledges support from Chilean Government trough FONDECYT initiation grant No. 11190056
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Leon-Castro, E., Blanco-Mesa, F., Alfaro-Garcia, V. et al. Fuzzy systems in innovation and sustainability. Comput Math Organ Theory 27, 377–383 (2021). https://doi.org/10.1007/s10588-021-09334-z
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DOI: https://doi.org/10.1007/s10588-021-09334-z