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JCR Category: Business in ESCI edition

Entrepreneurship and Sustainability Issues Open access
Journal Impact FactorTM (2025) 1.5 Q3
Journal Citation IndicatorTM (2025) 0.25 Q4
Received: 2023-02-11  |  Accepted: 2023-05-07  |  Published: 2023-06-30

Title

A fuzzy evaluation model of manufacturing machinery in terms of sustainable business


Abstract

The inclusion of sustainability criteria in the investment decision processes requires application of tools that consider the vague nature of sustainable characteristics. Fuzzy approach can process the vagueness of sustainability measures. The aim of the paper is to develop a suitable model of the fuzzy assessment of investment alternatives measured by Sustainability Utility Index. Its scheme is described methodologically as a three-stage system of multi-criteria ex-ante evaluation. An algorithmic conception of the system is performed at its third stage by a "fuzzy processor". The fuzzy model is applied to the task of the optimal type of building machinery selection in view of the cost and sustainable criteria. The results enable the manager to optimize his/her decision, who aims to minimize the investment and operation costs of the building machinery. Compared to the fuzzy approach based on Mandani's system, our model avoids several complications associated with the semantics of fuzzy implications in various fuzzy logics, it is more user friendly and easily algorithmized. This model is thus suitable to apply not only in corporate sphere but also in areas of ecology, sociology, economics. The limits of the fuzzy system are twofold - on the general level the fuzzy systems lack the ability to learn and memorize; determining or tuning a suitable membership function and fuzzy rules is not always clear. The challenge is first to test the model in the corporate sphere and second to acquaint potential users with this computationally undemanding fuzzy procedure.


Keywords

multi-criteria decision-making, corporate production, ex-ante evaluation, fuzzy processor, fuzzification table, sustainability utility index


JEL classifications

D25 , E22 , G11 , G31


URI

http://jssidoi.org/jesi/article/1080


DOI


Pages

71-88


Funding

This research was financially supported by the Institute of Technology and Business in České Budějovice.

This is an open access issue and all published articles are licensed under a
Creative Commons Attribution 4.0 International License

Authors

Hašková, Simona
Institute of Technology and Business in České Budějovice, České Budějovice, Czech Republic https://www.vstecb.cz
Articles by this author in: CrossRef |  Google Scholar

Vochozka, Marek
Institute of Technology and Business in České Budějovice, České Budějovice, Czech Republic https://www.vstecb.cz
Articles by this author in: CrossRef |  Google Scholar

Kučera, Jiří
Institute of Technology and Business in České Budějovice, České Budějovice, Czech Republic https://www.vstecb.cz
Articles by this author in: CrossRef |  Google Scholar

Journal title

Entrepreneurship and Sustainability Issues

Volume

10


Number

4


Issue date

June 2023


Issue DOI


ISSN

ISSN 2345-0282 (online)


Publisher

VšĮ Entrepreneurship and Sustainability Center, Vilnius, Lithuania

Cited

Google Scholar

Article views & downloads

HTML views: 2851  |  PDF downloads: 1418

References


Ahi, P., Searcy, C., & Jaber, M. Y. (2018). A probabilistic weighting model for setting priorities in assessing sustainability performance. Sustainable Production and Consumption, 13, 80-92. https://doi.org/10.1016/j.spc.2017.07.007

Search via ReFindit


Aksjonov, A., Ricciardi, V., Augsburg, K., Vodovozov, V., & Petlenkov, E. (2020). Hardware-in-the-loop test of an open-loop fuzzy control method for decoupled electrohydraulic antilock braking system. IEEE Transactions on Fuzzy Systems, 29(5), 965-975. https://doi.org/10.1109/TFUZZ.2020.2965868

Search via ReFindit


Amaral, V. L., Affonso, E. T. F., Silva, A. M., Moita, G. F., & Almeida, P. E. M. (2019, June). New Fuzzy Approaches to Cryptocurrencies Investment Recommendation Systems. In International Fuzzy Systems Association World Congress (pp. 135-147). Springer, Cham. https://doi.org/10.1007/978-3-030-21920-8_13

Search via ReFindit


Amiri, M. P. (2010). Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods. Expert Systems with Applications, 37(9), 6218-6224. https://doi.org/10.1016/j.eswa.2010.02.103

Search via ReFindit


Atanassov, K. T. (1994). New operations defined over the intuitionistic fuzzy sets. Fuzzy Sets and Systems, 61(2), 137-142. 90229-1 https://doi.org/10.1016/0165-0114(94)

Search via ReFindit


Ateş, N. Y., Çevik, S., Kahraman, C., Gülbay, M., & Erdoğan, S. A. (2006). Multi attribute performance evaluation using a hierarchical fuzzy TOPSIS method. In Fuzzy applications in industrial engineering (pp. 537-572). Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-33517-X_22

Search via ReFindit


Awasthi, A., Govindan, K., & Gold, S. (2018). Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach. International Journal of Production Economics, 195, 106-117. https://doi.org/10.1016/j.ijpe.2017.10.013

Search via ReFindit


Ayağ, Z., & Özdemir, R. G. (2006). A fuzzy AHP approach to evaluating machine tool alternatives. Journal of Intelligent Manufacturing, 17(2), 179-190. https://doi.org/10.1007/s10845-005-6635-1

Search via ReFindit


Běhounek, L., & Daňková, M. (2016). Towards fuzzy partial set theory. In International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (pp. 482-494). Springer, Cham. https://doi.org/10.1007/978-3-319-40581-0_39

Search via ReFindit


Belas, J., Škare, M., Gavurova, B., Dvorsky, J., & Kotaskova, A. (2022). The impact of ethical and CSR factors on engineers’ attitudes towards SMEs sustainability. Journal of Business Research, 149, 589–598. https://doi.org/10.7441/joc.2022.02.02

Search via ReFindit


Bogachov, S., Kwilinski, A., Miethlich, B., Bartosova, V., & Gurnak, A. (2020). Artificial intelligence components and fuzzy regulators in entrepreneurship development. Entrepreneurship and Sustainability Issues, 8(2), 487. https://doi.org/10.9770/jesi.2020.8.2(29)

Search via ReFindit


Boloș, M. I., Bradea, I. A., & Delcea, C. (2019). A fuzzy logic algorithm for optimizing the investment decisions within companies. Symmetry, 11(2), 186. https://doi.org/10.3390/sym11020186

Search via ReFindit


Camacho, O., Iglesias, E., Herrera, M., & Aboukheir, H. (2021). Fuzzy logic-based control: From fundamentals to applications. Revista Digital Novasinergia, 4(2), 6-37.

Search via ReFindit


Chaudhari, S., Patil, M., & Bambhori, J. (2014). Study and review of fuzzy inference systems for decision making and control. American International Journal of Research in Science, Technology, Engineering & Mathematics, 14(147), 88-92.

Search via ReFindit


Chaudhary, A. (2019). Mamdani and Sugeno Fuzzy Inference Systems’ Comparison for Detection of Packet Dropping Attack in Mobile Ad Hoc Networks. Emerging Technologies in Data Mining and Information Security (pp. 805-811). Springer, Singapore. https://doi.org/10.1007/978-981-13-1501-5_70

Search via ReFindit


Clarke, T., & Boersma, M. (2017). The governance of global value chains: Unresolved human rights, environmental and ethical dilemmas in the apple supply chain. Journal of Business Ethics, 143(1), 111-131. https://doi.org/10.1007/s10551-015-2781-3

Search via ReFindit


Dun & Bradstreet (2020). Albertina online https://www.bisnode.cz/produkty/albertina/?gclid=EAIaIQobChMI8bWmiaLT8AIVFMPVCh36pQ51EAAYASABEgKkJfD_BwE

Search via ReFindit


Eklof, J., Podkorytova, O., & Malova, A. (2020). Linking customer satisfaction with financial performance: an empirical study of Scandinavian banks. Total Quality Management & Business Excellence, 31(15-16), 1684-1702. https://doi.org/10.1080/14783363.2018.1504621

Search via ReFindit


Fiala, P. (2018). Project portfolio designing using data envelopment analysis and De Novo optimisation. Central European Journal of Operations Research, 26(4), 847-859. https://doi.org/10.1007/s10100-018-0571-6

Search via ReFindit


Franciosi, C., Iung, B., Miranda, S., & Riemma, S. (2018). Maintenance for sustainability in the industry 4.0 context: A scoping literature review. IFAC-PapersOnLine, 51(11), 903-908. https://doi.org/10.1016/j.ifacol.2018.08.459

Search via ReFindit


Gavurova, B., Kelemen, M., & Polishchuk, V. (2022). Expert model of risk assessment for the selected components of smart city concept: From safe time to pandemics as COVID-19. Socio-Economic Planning Sciences, 82, 101253. https://doi.org/10.1016/j.seps.2022.101253

Search via ReFindit


Gavurova, B., Schönfeld, J., Bilan, Y., & Dudáš, T. (2022). Study of the differences in the perception of the use of the principles of corporate social responsibility in micro, small and medium-sized enterprises in the V4 countries. Journal of Competitiveness, 14(2), 23-40. https://doi.org/10.7441/joc.2022.02.02

Search via ReFindit


Ghorabaee, M. K., Amiri, M., Zavadskas, E. K., & Antucheviciene, J. (2018). A new hybrid fuzzy MCDM approach for evaluation of construction equipment with sustainability considerations. Archives of Civil and Mechanical Engineering, 18(1), 32-49. https://doi.org/10.1016/j.acme.2017.04.011

Search via ReFindit


Gold, S., & Schleper, M. C. (2017). A pathway towards true sustainability: A recognition foundation of sustainable supply chain management. European Management Journal, 35(4), 425-429. https://doi.org/10.1016/j.emj.2017.06.008

Search via ReFindit


Hammer, J., & Pivo, G. (2017). The triple bottom line and sustainable economic development theory and practice. Economic Development Quarterly, 31(1), 25-36. https://doi.org/10.1177/0891242416674808

Search via ReFindit


Han, D., Qi, H., & Xie, A. (2014). On the equivalent annual cost method. Journal of Finance Issues, 13(2), 1. https://doi.org/10.58886/jfi.v13i2.2502

Search via ReFindit


Hašková, S. (2016). Evaluation of the Quality of the Entrepreneurial Environment on the Basis of Fuzzy Logic. Littera Scripta, 9(3), 10-23.

Search via ReFindit


Hašková, S. & Fiala, P. (2019). A fuzzy approach for the estimation of foreign investment risk based on values of rating indices. Risk Management, 21(3), 1-17. https://doi.org/10.1057/s41283-019-00051-1

Search via ReFindit


Hašková, S., Suler, P., Machova, V., Krulicky, T. (2019). Determining the price of the business share of a business in a group. Ad alta-Journal of Interdisciplinary Research, 9(2), 60-70.

Search via ReFindit


Hendiani, S., & Bagherpour, M. (2019). Developing an integrated index to assess social sustainability in construction industry using fuzzy logic. Journal of Cleaner Production, 230, 647-662. https://doi.org/10.1016/j.jclepro.2019.05.055

Search via ReFindit


Holčapek, M., Škorupová, N., & Štěpnička, M. (2021). Fuzzy Interpolation with Extensional Fuzzy Numbers. Symmetry, 13(2), 170. https://doi.org/10.3390/sym13020170

Search via ReFindit


Horak, J., Vrbka, J., Suler, P. (2020). Support Vector Machine Methods and Artificial Neural Networks Used for the Development of Bankruptcy Prediction Models and their Comparison. Journal of Risk and Financial Management, 13(3), 60. https://doi.org/10.3390/jrfm13030060

Search via ReFindit


Hwang, C.L., Yoon, K. (1981). Multiple Attributes Decision Making Methods and Application, Springer, Berlin Heidelberg. https://doi.org/10.1007/978-3-642-48318-9_3

Search via ReFindit


Janková, Z., & Dostál, P. (2021). Type-2 Fuzzy Expert System Approach for Decision-Making of Financial Assets and Investing under Different Uncertainty. Mathematical Problems in Engineering https://doi.org/10.1155/2021/3839071

Search via ReFindit


Jankova, Z., Jana, D. K., & Dostal, P. (2021). Investment decision support based on interval type-2 fuzzy expert system. Engineering Economics, 32(2), 118-129. https://doi.org/10.5755/j01.ee.32.2.24884

Search via ReFindit


Karkalikova, M., & Strhan, R. (2018). Integrated Management Systems as a Tool for Achieving Continuous Improvements in Performance. Littera Scripta, 11(1), 81-92.

Search via ReFindit


Kelemen, M., Gavurova, B., & Polishchuk, V. (2022). A Complex Hybrid Model for Evaluating Projects to Improve the Sustainability and Health of Regions and Cities. International Journal of Environmental Research and Public Health, 19(13), 8217. https://doi.org/10.3390/ijerph19138217

Search via ReFindit


Kim, S. (2019). The process model of corporate social responsibility (CSR) communication: CSR communication and its relationship with consumers’ CSR knowledge, trust, and corporate reputation perception. Journal of Business Ethics, 154(4), 1143-1159. https://doi.org/10.1007/s10551-017-3433-6

Search via ReFindit


Kovarikova, V., Balkova, M. & Klementova, I. (2021). Motivated employees as key to success of any organization. Littera Scripta, 14(1), 61-70.

Search via ReFindit


Ladu, L., & Morone, P. (2021). Holistic approach in the evaluation of the sustainability of bio-based products: An Integrated Assessment Tool. Sustainable Production and Consumption, 28, 911-924e6. https://doi.org/10.1016/j.spc.2021.07.006

Search via ReFindit


Lavickova, M., Kolafova, P. M. & Turinska, L. (2021). Language courses as tool to motivate employees in South Bohemian enterprises. Littera Scripta, 14(1), 86-106.

Search via ReFindit


Lönngren, J., & Van Poeck, K. (2021). Wicked problems: a mapping review of the literature. International Journal of Sustainable Development & World Ecology, 28(6), 481-502. https://doi.org/10.1080/13504509.2020.1859415

Search via ReFindit


Luo, W. J., Chen, K. S., Yu, C. M., & Hsu, T. H. (2020). The fuzzy process quality evaluation model for the stb quality characteristic of machining. Applied Sciences, 10(22), 8272. https://doi.org/10.3390/app10228272

Search via ReFindit


Memari, A., Dargi, A., Jokar, M. R. A., Ahmad, R., & Rahim, A. R. A. (2019). Sustainable supplier selection: A multi-criteria intuitionistic fuzzy TOPSIS method. Journal of Manufacturing Systems, 50, 9-24. https://doi.org/10.1016/j.jmsy.2018.11.002

Search via ReFindit


Mishra, U., Wu, J. Z., & Sarkar, B. (2020). A sustainable production-inventory model for a controllable carbon emissions rate under shortages. Journal of Cleaner Production, 256, 120268. https://doi.org/10.1016/j.jclepro.2020.120268

Search via ReFindit


Muljono, A. B., Ginarsa, I. M., Nrartha, I. M. A., & Dharma, A. (2018). Coordination of Adaptive Neuro Fuzzy Inference System (ANFIS) and Type-2 Fuzzy Logic System-Power System Stabilizer (T2FLS-PSS) to Improve a Large-scale Power System Stability. International Journal of Electrical & Computer Engineering (2088-8708), 8(1). https://doi.org/10.11591/ijece.v8i1.pp76-86

Search via ReFindit


Nădăban, S., Dzitac, S., & Dzitac, I. (2016). Fuzzy TOPSIS: a general view. Procedia Computer Science, 91, 823-831. https://doi.org/10.1016/j.procs.2016.07.088

Search via ReFindit


Nadanyiova, M. & Das, S. (2020). Millennials as a Target Segment of Socially Responsible Communication within the Business Strategy. Littera Scripta, 13(1), 119-134. https://doi.org/10.36708/Littera_Scripta2020/1/8

Search via ReFindit


Onat, N. C., Gumus, S., Kucukvar, M., & Tatari, O. (2016). Application of the TOPSIS and intuitionistic fuzzy set approaches for ranking the life cycle sustainability performance of alternative vehicle technologies. Sustainable Production and Consumption, 6, 12-25. https://doi.org/10.1016/j.spc.2015.12.003

Search via ReFindit


Padilla-Rivera, A., do Carmo, B. B. T., Arcese, G., & Merveille, N. (2021). Social circular economy indicators: Selection through fuzzy delphi method. Sustainable Production and Consumption, 26, 101-110. https://doi.org/10.1016/j.spc.2020.09.015

Search via ReFindit


Pan, L., Xu, Z. & Skare, M. (2023). Sustainable business model innovation literature: a bibliometrics analysis. Rev Manag Sci, 17, 757–785. https://doi.org/10.1007/s11846-022-00548-2

Search via ReFindit


Qin, Y., Xu, Z., Wang, X., & Škare, M. (2021). Are family firms in the eyes of economic policy? International Entrepreneurship and Management Journal, 17, 1233-1259. https://doi.org/10.1007/s11365-020-00699-2

Search via ReFindit


Rajesh, R. (2019). A fuzzy approach to analyzing the level of resilience in manufacturing supply chains. Sustainable Production and Consumption, 18, 224-236. https://doi.org/10.1016/j.spc.2019.02.005

Search via ReFindit


Rostamnezhad, M., Nasirzadeh, F., Khanzadi, M., Jarban, M. J., & Ghayoumian, M. (2020). Modeling social sustainability in construction projects by integrating system dynamics and fuzzy‐DEMATEL method: a case study of highway project. Engineering, Construction and Architectural Management, 27(7), 1595-1618. https://doi.org/10.1108/ECAM-01-2018-0031

Search via ReFindit


Saleh, A., Rosnelly, R., Puspita, K., & Sanjaya, A. (2017). A comparison of Mamdani and Sugeno method for optimization prediction of traffic noise levels. In 2017 5th International Conference on Cyber and IT Service Management (CITSM) (pp. 1-4). IEEE. https://doi.org/10.1109/CITSM.2017.8089310

Search via ReFindit


Skare, M., & Porada-Rochon, M. (2022). The role of innovation in sustainable growth: A dynamic panel study on micro and macro levels 1990–2019. Technological Forecasting and Social Change, 175, 121337. https://doi.org/10.1016/j.techfore.2021.121337

Search via ReFindit


Skare, M., Gavurova, B., & Polishchuk, V. (2023a). A Fuzzy Multicriteria Model of Sustainable Tourism: Examples From the V4 Countries. IEEE Transactions on Engineering Management, 1-12. https://doi.org/10.1109/tem.2023.3239519

Search via ReFindit


Skare, M., Gavurova, B., & Polishchuk, V. (2023b). A decision-making support model for financing start-up projects by venture capital funds on a crowdfunding platform. Journal of Business Research, 158, 113719. https://doi.org/10.1016/j.jbusres.2023.113719

Search via ReFindit


Susanto, F., Arafah, W., & Husin, Z. (2017). Ambidextrous sustainability and manufacturing industry performance: The role of potential non-economic benefits as mediation pathways. Polish Journal of Management Studies, 16(2), 278-289. https://doi.org/10.17512/pjms.2017.16.2.24

Search via ReFindit


Torkabadi, A. M., Pourjavad, E., & Mayorga, R. V. (2018). An integrated fuzzy MCDM approach to improve sustainable consumption and production trends in supply chain. Sustainable Production and Consumption, 16, 99-109. https://doi.org/10.1016/j.spc.2018.05.008

Search via ReFindit


Vochozka, M., Horak, J., Suler, P. (2019). Equalizing Seasonal Time Series Using Artificial Neural Networks in Predicting the Euro-Yuan Exchange Rate. Journal of Risk and Financial Management, 12(2), 76. https://doi.org/10.3390/jrfm12020076

Search via ReFindit


Wang, L. (2019). Financial distress prediction for listed enterprises using Fuzzy C-Means. Littera Scripta, 12(1), 169-177.

Search via ReFindit


Wyborn, C., Datta, A., Montana, J., Ryan, M., Leith, P., Chaffin, B., ... & Van Kerkhoff, L. (2019). Co-producing sustainability: reordering the governance of science, policy, and practice. Annual Review of Environment and Resources, 44, 319-346. https://doi.org/10.1146/annurev-environ-101718-033103

Search via ReFindit


Xu, Z., Wang, X., Wang, X., & Skare, M. (2021). A comprehensive bibliometric analysis of entrepreneurship and crisis literature published from 1984 to 2020. Journal of Business Research, 135, 304-318. https://doi.org/10.1016/j.jbusres.2021.06.051

Search via ReFindit


Yu, Y., Qin, Y., Xu, Z., & Škare, M. (2022). Bibliometric analysis of strategic entrepreneurship literature. International Entrepreneurship and Management Journal, 18(4), 1475-1502. https://doi.org/10.1007/s11365-022-00804-7

Search via ReFindit


Yuan, X., Li, H., & Sun, K. (2009). Theory Based Level Cut Sets of Zadeh Fuzzy Sets on Interval-Valued. Advances in Soft Computing Fuzzy Information and Engineering, 2, 501-510. https://doi.org/10.1007/978-3-642-03664-4_55

Search via ReFindit


Zarte, M., Pechmann, A., & Nunes, I. L. (2018). Sustainable Evaluation of Production Programs Using a Fuzzy Inference Model–A Concept. Procedia CIRP, 73, 241-246. https://doi.org/10.1016/j.procir.2018.04.012

Search via ReFindit


Ziyadin, S., Borodin, A., Streltsova, E., Suieubayeva, S., & Pshembayeva, D. (2019). Fuzzy logic approach in the modeling of sustainable tourism development management. Polish Journal of Management Studies, 19(1), 492-504. https://doi.org/10.17512/pjms.2019.19.1.37

Search via ReFindit