[
Anojkumar, L., Ilangkumaran, M., Sasirekha, V., 2014: Comparative analysis of MCDM methods for pipe material selection in sugar industry. Expert Systems with Applications, 41:2964–2980.
]Search in Google Scholar
[
Canbolat, Y., Chelst, K., Garg, N., 2007: Combining decision tree and MAUT for selecting a country for a global manufacturing facility. Omega, 35:312–325.
]Search in Google Scholar
[
Čulík, M., 2013: Drevo a jeho využitie vo výrobe hudobných nástrojov. Vedecká štúdia. Technical University in Zvolen, 93 p. (In Slovak).
]Search in Google Scholar
[
Čulík, M., Danihelová, A., Danihelová, Z., 2016: Wood for musical instruments. Akustika, 25:66–72.
]Search in Google Scholar
[
Danihelová, A., 2004: Relevant physical acoustics of spruce wood as a material for musical instruments. In: Proceedings of the 8th World Conference on Timber Engineering (WCTE), Lahti, Finland, 14–17 June 2004, p. 491–494.
]Search in Google Scholar
[
Danilov, V. I., Lambert-Mogiliansky, A., Vergopoulos V., 2018: Dynamic consistency of expected utility under non-classical (quantum) uncertainty. Theory and Decision, 84:645–670.
]Search in Google Scholar
[
Ellram, L. M., 1990: The supplier selection decision in strategic partnerships. Journal of Purchasing and Materials Management, 26:8–14.
]Search in Google Scholar
[
Fildes, R., Kingsman, B. G., 2011: Incorporating demand uncertainty and forecast error in supply chain planning models. Journal of the Operational Research Society, 62:483–500.
]Search in Google Scholar
[
Gejdoš, M., Suchomel, J., 2013: Potential of wood for musical instruments in Slovakia. Akustika, 20:16–23.
]Search in Google Scholar
[
Gejdoš, M., Danihelová, Z., 2015: Valuation and Timber Market in the Slovak Republic. Procedia Economics and Finance, 34:697–703.
]Search in Google Scholar
[
Hajdúchová, I., Sedliačiková, M., Halaj, D., Krištofík, P., Musa, H., Viszlai, I., 2016: Slovakian forest-based sector in the context of globalization. BioResources, 11:4808–4820.
]Search in Google Scholar
[
Hess, S., Daly, A., Batley, R., 2018: Revisiting consistency with random utility maximisation: theory and implications for practical work. Theory and Decision, 84:181–204.
]Search in Google Scholar
[
Holécy, J., 2013: Economics and valuation of natural resources. Technical University in Zvolen, 224 p.
]Search in Google Scholar
[
Hönl, A, Meissner, P., Wulf, T., 2017: Risk attribution theory: An exploratory conceptualization of individual choice under uncertainty. Journal of Behavioral and Experimental Economics, 67:20–27.
]Search in Google Scholar
[
Jamieson, S., 2004: Likert scales: how to (ab)use them. Medical Education, 38:1217–1218.
]Search in Google Scholar
[
Kiliç, M., Kaya, İ., 2015: Investment project evaluation by a decision making methodology based on type-2 fuzzy sets. Applied Soft Computing, 27:399–410.
]Search in Google Scholar
[
Kubde, R. A., Bansod, S., 2012: The analytic hierarchy process based supplier selection approach for collaborative planning forecasting and replenishment systems. International Journal of Engineering Research & Technology, 1:1–11.
]Search in Google Scholar
[
Omrani, H., Adabi, F., Adabi, N., 2016: Designing an efficient supply chain network with uncertain data: a robust optimization-data envelopment analysis approach. Journal of the Operational Research Society, 68:816–828.
]Search in Google Scholar
[
Palaneeswaran, E. Ng., Kumaraswamy, S. T., Chan, W. H. K., 2006: Analytic hierarchy process based supplier selection framework for construction contractors. In: Proceedings of the Annual Research Conference of the Royal Institution of Chartered Surveyors held at University College London, p. 116–128.
]Search in Google Scholar
[
Sarvašová, Z., Šálka, J., Dobšinská, Z., Kovalčík, M., 2014: The comparison of innovations in Slovakian forestry between 2002 and 2010 – a shift to multifunctionality? South-east European Forestry, 5:125–134.
]Search in Google Scholar
[
Štafura, A., Nagy, Š., 2016: The upper lip as a voicing element of wooden organ pipes. Akustika, 25:55–61.
]Search in Google Scholar
[
Štafura, A., Nagy, Š., 2017: Sound freqency spectrum of a wood organ pipe after the application of a second glue layer on the inner walls. Akustika, 28:90–96.
]Search in Google Scholar
[
Weber, C. A., Current, J. R., Benton, W. C., 1991: Vendor selection criteria and methods. European Journal of Operational Research, 50:2–18.
]Search in Google Scholar
[
Weber, C. A., Current, J. R., Desai, A., 2000: Vendor: a structured approach to vendor selection and negotiation. Journal of Business Logistics, 21:135–167.
]Search in Google Scholar
[
Weele, A. J. Van, 2010: Purchasing and supply chain management: Analysis, strategy, planning and practice. Cengage Learning EMEA, 418 p.
]Search in Google Scholar
[
Wegst, U. G. K., 2006: Wood for sound. American Journal of Botany, 93:1439–1448.
]Search in Google Scholar
[
Yoshikawa, S., Waltham, C., 2014: Woods for wooden musical instruments. Proceeding of ISMA, p. 281–286.
]Search in Google Scholar
[
de Winter, J. C. F., Dodou, D., 2010: Five-pint likert items: T test versus Mann-Whitney-Wilcoxon. Practical Assessment, Research and Evaluation, 15:13–16.
]Search in Google Scholar
[
Zhao, J., Qiu, J., Zhou, Y. W., Hu, X. J., Yang, A. F., 2020: Quality disclosure in the presence of strategic consumers. Journal of Retailing and Consumer Services, 55:2084–2084.
]Search in Google Scholar
[
OECD, 2018: The 2030 Agenda and Development Cooperation.
]Search in Google Scholar
[
STN 48 0055 Qualitative classification of softwood round timber (2007).
]Search in Google Scholar
[
STN 48 0056 Qualitative classification of hardwood round timber (2007).
]Search in Google Scholar
[
STN 48 0059 Wood specification for musical instrument production (2014).
]Search in Google Scholar