Qualitative assessment of ecosystem services for recreation and tourism in the spatio-temporal geosystem

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dc.citation.epage47
dc.citation.issue1
dc.citation.journalTitleВимірювальна техніка та метрологія
dc.citation.spage37
dc.contributor.affiliationLviv Polytechnic National University
dc.contributor.affiliationNational Forestry University of Ukraine
dc.contributor.authorBoyko, Taras
dc.contributor.authorRuda, Maria
dc.contributor.authorPaslavskyi, Mykhailo
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.date.accessioned2024-03-11T08:26:33Z
dc.date.available2024-03-11T08:26:33Z
dc.date.created2023-02-28
dc.date.issued2023-02-28
dc.description.abstractThe paper proposes a comprehensive method of qualitative evaluation of services provided by various providers, which are expressed by characteristics that avoid a quantitative representation. The research foresees the application of the well-known method of deployment of quality functions, the development of which consists of the possibility of determining the coefficients of the weighting of technical characteristics of cultural ecosystem services for recreation and tourism of the spatiotemporal geosystem. To take into account the priority of consumer requirements, the expert method of pairwise comparisons was introduced, which was modified so that possible conclusions could be considered, in particular, the evaluation of the equivalence of characteristics was applied. To obtain the degree of correlation between the characteristics determined by experts based on consumer requirements and the technical characteristics of cultural ecosystem services for recreation and tourism, it is proposed to utilize the fuzzy logic method. Since both the presence of correlations links and the degree of correlation between consumer requirements and technical characteristics are the result of the interaction of a set of various factors, among which a significant number may be random, based on the central limit theorem, as well as the experience of applying correlation coefficients in other areas, a conclusion is drawn, that the probability distribution function of correlation degrees is properly described by a Gaussian curve. The value of the technical characteristics of the specified ecosystem services for three spatiotemporal geosystems was also obtained with the help of the fuzzy logic method.
dc.format.extent37-47
dc.format.pages11
dc.identifier.citationBoyko T. Qualitative assessment of ecosystem services for recreation and tourism in the spatio-temporal geosystem / Taras Boyko, Maria Ruda, Mykhailo Paslavskyi // Measuring Equipment and Metrology. — Lviv : Lviv Politechnic Publishing House, 2023. — Vol 84. — No 1. — P. 37–47.
dc.identifier.citationenBoyko T. Qualitative assessment of ecosystem services for recreation and tourism in the spatio-temporal geosystem / Taras Boyko, Maria Ruda, Mykhailo Paslavskyi // Measuring Equipment and Metrology. — Lviv : Lviv Politechnic Publishing House, 2023. — Vol 84. — No 1. — P. 37–47.
dc.identifier.doidoi.org/10.23939/istcmtm2023.01.037
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/61420
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofВимірювальна техніка та метрологія, 1 (84), 2023
dc.relation.ispartofMeasuring Equipment and Metrology, 1 (84), 2023
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dc.relation.references[22] V. I. Biryulin, A. N. Gorlov and D. V. Kudelina, “Fuzzy modeling of efficiency of energy and fuel resource use at regional level”, 2017 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), 2017, 1–4. DOI: 10.1109/ICIEAM. 2017.8076225.
dc.relation.references[23] Bojko T. G. Formation of theoretical and regulatory and technical bases for evaluating the quality level of products: Dr. Sc. abstract, Lviv Polytechnic National University, 2010.
dc.relation.references[24] Thomas L. Saaty and Kevin P. Kearns Analytical Planning The Organization of System, 1985. https://doi.org/10.1016/C2013-0-03782-6.
dc.relation.references[25] Opricovic, S., Tzeng, G. H. Defuzzification within a multicriteria decision model, International Journal of Uncertainty. Fuzziness and Knowledge-Based Systems, 11(5), 2003, 635–652.
dc.relation.references[26] Kazançoğlu Yiğit, Aksoy Murat. A fuzzy logic-based Quality Function Deployment for selection of e-learning provider. The Turkish Online Journal of Educational Technology, October 2011, Vol. 10, Iss. 4. https://www.academia.edu/73088743/A_Fuzzy_Logic_Based_Quality_Function_Deployment_for_Selection_of_E_Learning_Provider
dc.relation.referencesen[1] Reid, W. & al., et., 2005. Millennium Ecosystem Assessment, WRI: World Resources Institute. Retrieved from https://policycommons.net/artifacts/1360846/millennium-ecosystem-assessment/1974825/ on 27 Nov 2022. CID: 20.500.12592/5qwvp.
dc.relation.referencesen[2] Kremen, C., & Cowling, R. Managing ecosystem services: what do we need to know about their ecology? Ecology Letters, 8(5), 2005, 468–479. DOI: 10.1111/j.1461-0248.2005.00751.x
dc.relation.referencesen[3] Farber, S., Costanza, R., Childers, D. L., Erickson, J., Gross, K., Grove, M., & ... Wilson, M. Linking Ecology and Economics for Ecosystem Management. BioScience, (2), 121, 2006. DOI: 10.1641/0006-3568(2006)056[0121:leaefe]2.0.co;2.
dc.relation.referencesen[4] Fisher, B., Turner, R. K., & Morling, P. Defining and classifying ecosystem services for decision making. Ecological Economics, 68(3), 2009, 643–653. DOI: 10.1016/j.ecolecon.2008.09.014.
dc.relation.referencesen[5] Costanza, R., d’Arge, R., de Groot, R., Farber, S., Grasso, M., Hannon, B., & ... van den Belt, M. The value of the world’s ecosystem services and natural capital. Ecological Economics, 25(1), 3, 1998.
dc.relation.referencesen[6] Daily, G. C. Nature’s services: Societal dependence on natural ecosystems. Washington, 1997, DC: Island Press.
dc.relation.referencesen[7] Daily, G. C. Developing a Scientific Basis for Managing Earth’s Life Support Systems. Conservation Ecology (11955449), 3(2), 1999.
dc.relation.referencesen[8] Wittmer, H., & Gundimeda, H. (Eds.). The economics of ecosystems and biodiversity. TEEB for local and regional policymakers. (Chapter 7), 2010. London: Earthscan.
dc.relation.referencesen[9] Boyd, J., & Banzhaf, S. What are ecosystem services? The need for standardized environmental accounting units. Ecological Economics, 63(2/3), 2007, 616–626. DOI: 10.1016/j.ecolecon.2007.01.002
dc.relation.referencesen[10] Pankaj Dutta, Anurag Mishra, Sachin Khandelwal, Ibrahim Katthawala, Amultiobjective optimization model for sustainable reverse logistics in Indian E-commerce market, Journal of Cleaner Production, Vol. 249, 2020, 119348. https://doi.org/10.1016/j.jclepro.2019.119348.
dc.relation.referencesen[11] Seppelt, R., Dormann, C. F., Eppink, F. V., Lautenbach, S., Schmidt, S. A quantitative review of ecosystem service studies: approaches, shortcomings and the road ahead. Journal of Applied Ecology, 2011, 48, pp. 630–636.
dc.relation.referencesen[12] de Groot, R. S., Alkemade, R., Braat L., Hein, L., Willemen, L. Challenges in integrating the concept of ecosystem services and values in landscape planning, management, and decision making. Ecological Complexity, 7 (2010), 2010, pp. 260–272.
dc.relation.referencesen[13] Svetlana Ustugova, Danila Parygin, Natalia Sadovnikova, Alexey Finogeev, Alexey Kizim, Monitoring of Social Reactions to Support Decision Making on Issues of Urban Territory Management, Procedia Computer Science, Vol. 101, 2016, 243–252. https://doi.org/10.1016/j.procs.2016.11.029.
dc.relation.referencesen[14] Bojko T. G., Ruda M. V., Paslavs’kyj M. M., Sokolov S. O., Petrenko S. V., Skakovs’kyj S. I. Cybernetic nature of complex landscape complexes and supra-optimization of self-recovery and self-preservation mechanisms. Naukovyj visnyk NLTU Ukrai’ny: zbirnyk naukovyh prac’. L’viv, 2019, Tom 29, No. 5, 134–140. https://doi.org/10.15421/40290527 (in Ukrainian)
dc.relation.referencesen[15] Ruda M. V., Bubela T. Z. The use of information and measurement systems for the study of the quality of the process of functioning of consortium ecotones of the protective type. Ukr. metr. journ., 2018, No. 3, 55–61. DOI: 10.24027/2306-7039.3.2018.153113 (in Ukrainian)
dc.relation.referencesen[16] Maglinets, Y. A., Maltsev, E. G. & Tsybulskii, G. M. Multipurpose geoinformation management system of territories along the Yenisei meridian. Pattern Recognit. Image Anal. 21, 297–299 (2011). https://doi.org/10.1134/S1054661811020702.
dc.relation.referencesen[17] Gleeson, T., Befus, K., Jasechko, S. et al. The global volume and distribution of modern groundwater. Nature Geosci, 9, 161–167 (2016). https://doi.org/10.1038/ngeo2590.
dc.relation.referencesen[18] C. P. M. Govers, What and how about quality function deployment (QFD), International Journal of Production Economics, Vol. 46–47, 1996, 575–585. https://doi.org/10.1016/0925-5273(95)00113-1.
dc.relation.referencesen[19] Hrihorenko, I., Drozdova, T., Hrihorenko, S., & Tverytnykova, E. (2019). Application of user interface fuzzy logic toolbox for quality control of products and services. Advanced Information Systems, 3(4), 118–125. https://doi.org/10.20998/2522-9052.2019.4.18
dc.relation.referencesen[20] Zadeh L. A. The concept of a linguistic variable and its application to approximate reasoning II, Information Sciences, Vol. 8, Iss. 4, 1975, 301–357, https://doi.org/10.1016/0020-0255(75)90046-8.
dc.relation.referencesen[21] Hui Han, Silvana Trimi A fuzzy TOPSIS method for performance evaluation of reverse logistics in social commerce platforms, Expert Systems with Applications, Vol. 103, 2018, 133–145. https://doi.org/10.1016/j.eswa.2018.03.003.
dc.relation.referencesen[22] V. I. Biryulin, A. N. Gorlov and D. V. Kudelina, "Fuzzy modeling of efficiency of energy and fuel resource use at regional level", 2017 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), 2017, 1–4. DOI: 10.1109/ICIEAM. 2017.8076225.
dc.relation.referencesen[23] Bojko T. G. Formation of theoretical and regulatory and technical bases for evaluating the quality level of products: Dr. Sc. abstract, Lviv Polytechnic National University, 2010.
dc.relation.referencesen[24] Thomas L. Saaty and Kevin P. Kearns Analytical Planning The Organization of System, 1985. https://doi.org/10.1016/P.2013-0-03782-6.
dc.relation.referencesen[25] Opricovic, S., Tzeng, G. H. Defuzzification within a multicriteria decision model, International Journal of Uncertainty. Fuzziness and Knowledge-Based Systems, 11(5), 2003, 635–652.
dc.relation.referencesen[26] Kazançoğlu Yiğit, Aksoy Murat. A fuzzy logic-based Quality Function Deployment for selection of e-learning provider. The Turkish Online Journal of Educational Technology, October 2011, Vol. 10, Iss. 4. https://www.academia.edu/73088743/A_Fuzzy_Logic_Based_Quality_Function_Deployment_for_Selection_of_E_Learning_Provider
dc.relation.urihttps://policycommons.net/artifacts/1360846/millennium-ecosystem-assessment/1974825/
dc.relation.urihttps://doi.org/10.1016/j.jclepro.2019.119348
dc.relation.urihttps://doi.org/10.1016/j.procs.2016.11.029
dc.relation.urihttps://doi.org/10.15421/40290527
dc.relation.urihttps://doi.org/10.1134/S1054661811020702
dc.relation.urihttps://doi.org/10.1038/ngeo2590
dc.relation.urihttps://doi.org/10.1016/0925-5273(95)00113-1
dc.relation.urihttps://doi.org/10.20998/2522-9052.2019.4.18
dc.relation.urihttps://doi.org/10.1016/0020-0255(75)90046-8
dc.relation.urihttps://doi.org/10.1016/j.eswa.2018.03.003
dc.relation.urihttps://doi.org/10.1016/C2013-0-03782-6
dc.relation.urihttps://www.academia.edu/73088743/A_Fuzzy_Logic_Based_Quality_Function_Deployment_for_Selection_of_E_Learning_Provider
dc.rights.holder© Національний університет “Львівська політехніка”, 2023
dc.subjectCustomer requirement
dc.subjectTechnical specification
dc.subjectService
dc.subjectEcosystem
dc.subjectQuality assessment
dc.subjectFuzzy logic
dc.titleQualitative assessment of ecosystem services for recreation and tourism in the spatio-temporal geosystem
dc.typeArticle

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Вимірювальна техніка та метрологія. – 2023. – Випуск 84, №1