PROCESSING EXPERT INFORMATION IN THE CONTEXT OF COLLECTIVE ASSESSMENT OF A TOURIST INFRASTRUCTURE

Authors

DOI:

https://doi.org/10.30837/2522-9818.2018.5.035

Keywords:

tourist infrastructure, expert assessment, consensus aggregation, rank privileges, concordance coefficient

Abstract

The subject matter of the article is the process of processing expert information in the context of the collective assessment of a tourism infrastructure. The tourism infrastructure is a complex of interconnected actions and institutional structures that provide conditions for tourist activities. The expert assessment as a methodology for selecting the types of action has long been used successfully in technological and economic practice. The main requirement for the collective expert assessment is its reliability, which is determined by the consistency of individual expert ratings. The goal of the article is to suggest methods that increase the consistency of collective rankings and to prove practically their accuracy while assessing the tourist infrastructure of a region. The objectives of the article are to analyze the concept of "a tourism infrastructure"; to study the methods of processing expert information in the tasks of constructing aggregated consensus rankings, to demonstrate the effectiveness of expert methods in assessing the tourist infrastructure of a region. The following methods were used in the study – system analysis, rank data analysis, expert assessment. The following results were obtained: the methods of preliminary processing and aggregating collective assessments in rank scales were studied; the method of step-by-step reduction of a number of experts was suggested in order to increase the consistency of individual expert rankings. Specific examples of collective rankings for assessing the tourism infrastructure of a region were presented to illustrate the obtained results. Conclusions. The state of the tourism infrastructure is one of the important factors that determine the results of the industry and the degree of the achievement of the strategic goals of its development. The method of creating a collective expert assessment of complex objects by "random" experts, in particular, assessment of the tourist infrastructure of a region, is proposed. The developed method can significantly improve the consistency of a collective assessment and identify "weak" places in the tourism infrastructure. The accuracy of the proposed method and its effectiveness are proved by a real expert assessment.

Author Biographies

Варвара Ігорівна Куваєва, Odessa National Polytechnic University

Odessa National Polytechnic University, Post-Graduate Student at the Department of Information Systems

Христина Володимирівна Ліп’яніна, Ternopil National Economic University

Ternopil National Economic University, Lecturer at the Department of Economic Cybernetics and Informatics

Віктор Олексійович Болтьонков, Odessa National Polytechnic University

PhD (Engineering Sciences), Associate Professor, Odessa National Polytechnic University, Associate Professor at the Department of Information Systems

References

Petrovsky, A. B. (2009), Theory of decision making [Teoryia pryniatyia reshenyi], Moscow Academy, 400 p.

Kovalevsky, G. V, Omush, M. O. (2002), "Evaluation of the tourist attractiveness of the region (on the example of Jordan)" ["Otsenka turystycheskoi pryvlekatelnosty rehyona (na prymere Yordanyy)"], Bulletin of Kharkov National University of them V.N. Karazin, Issue 564, P. 266–269.

Bakurova, G. V, Ocheretin, D. V. (2002), "Estimation of recreational attractiveness of the region" ["Otsіnka rekreatsiynoi zapadblivostі regeonu"], Zbirnik nauk. prap, Dnipropetrovsk, Vol. 183 in 3 volumes, Vol. III, P. 617–622.

Beidik, O. O. (2001), Recreational and Tourist Resources of Ukraine: Methodology and Methodology of Analysis, Terminology, District Planning : Monograph [Rekreatsiino-turystychni resursy Ukrainy: metodolohiia i metodyka analizu, terminolohiia, raionuvannia : monografiya], Species-Poligraf. center "Kiev university", 395 p.

Kravtsiv, V. S. (1999), Science-methodical ambushes reforming the recreational sphere [Naukovo-metodychni zasady reformuvannia rekreatsiinoi sfery], NAS of Ukraine. Lviv, 78 p.

Ivanova, L. O. (2003), "Estimation of marketing opportunities of hotel industry enterprises in some regions of Ukraine" ["Otsnika marketingvih mozlivosty pidpriemstv gothal state in the regions of Ukraine"], Socio-economic research in the transition period : Annual scientific papers, National Academy of Sciences of Ukraine, Lviv, Issue XIV, P. 230–242.

Cook, W. D. (1978), "Priority ranking and consensus formation", Management Science, Vol. 24, No. 16, P. 1721–1732.

Cook, W. D. (1997), "A general framework for distance-based consensus in ordinal ranking models", European Journal of Operational Research, Vol. 96, No. 2, P. 392–397.

Samokhvalov, Y. Y. (2007), Expert evaluation, Methodological DUICT, Kiev, 262 p.

Orlov, A. I. (2011), Organizational-economic modeling [Orhanyzatsyonno-эkonomycheskoe modelyrovanye], Expert assessments, 486 p.

Kondratyuk, I. V, Sdvizhkova, E. A. (2013), "Choice and substantiation of significant informative factors of coal and gas outburst hazard" ["Vybor y obosnovanye znachymukh ynformatyvnukh faktorov vubrosoopasnosty uhlia y haza"], Zbirnik Naukovych prac Natsionalnogo girnichogo university, No. 40, P. 77–84.

Hebe, N. A, Kovshov, E. E. (2013), "The licensing model for open source software solutions," ["Model lytsenzyrovanyia prohrammnыkh reshenyi s otkrыtыm kodom"], Modern Problems of Science and Education, No. 6, P. 69.

Ronald, D. A., Cook, W. D. (1982), "Priority Ranking and Consensus Formation: The Case of Ties", Management Science, Vol. 28. P. 638–645.

Kataev, A. V. (2016), Actual functional tasks of marketing commodity policy, Dialog Publishing Center, Kharkov, 124 p.

Bury, H., Wagner, D. (2008), "Group Judgment with Ties. Distance-Based Methods. New Approaches in Automation and Robotics", I-Tech Education and Publishing, Vienna, P. 153–173.

Pisareva, O. M. (2003), Methods of socio-economic forecasting, 396 p.

Davnis, V. V., Tinyakova, V. I. (2005), Forecast models of expert preferences, Voronezh. 248 p.

Kobzar, A. I. (2006), Applied Mathematical Statistics. For engineers and scientists [Prykladnaia matematycheskaia statystyka. Dlia ynzhenerov y nauchnykh rabotnykov], FIZMATLIT, 816 p.

Kuvaieva, V. I., Pozniak, A. V., Boltenkov, V. A. (2017), "Application of expert assessment methods in the construction of decision support systems" ["Prymenenye metodov эkspertnoho otsenyvanyia pry postroenyy system podderzhky pryniatyia reshenyi"], Sistemi that zakobi piece of telecommunication : tezi dopovidey Mizhnorennoi naukovoi molodizhnoї schools, Kiev, P. 104–108.

Papirian, G. A. (1999), International Economic Relations: Tourism Economics, Finance and Statistics, 208 p.

Chudnovsky, A. (2014), Tourism Management, Federal Agency for Tourism, 576 p.

Kuvaieva, V. I (2018), "Preliminary processing of expert information in the formation of an aggregate consensus rank evaluation" ["Predvarytelnaia obrabotka эkspertnoi ynformatsyy pry formyrovanyy ahrehyrovannoi konsensusnoi ranhovoi otsenky"], Vcheny note TNU : Series: technical science, P. 155–162.

Kraska-Miller, M. (2014), Nonparametric statistics for social and behavioral science, CRC Press Taylor & Francis Group, 231 p.

Boltenkov, V. A., Kuvaieva, V. I., Pozniak, A. V. (2017) "Analysis of Median Methods of Consensus Aggregation of Ranking Preferences" ["Analyz medyannykh metodov konsensusnoho ahrehyrovanyia ranhovykh predpochtenyi"], Informatics and mathematical methods in modeling, P. 307–317.

Boltenkov, V. A, Kuvaieva, V. I, Chervonenko, P. P. (2018), "Application of methods of social choice in tasks of aggregation of ratings in rank scales", System technologies : Regional inter-university collections of scientific works, P. 93–102.

Durovich, A. P. (2008), Marketing research in tourism, SPb., 394 p.

Stenin, A. A, Gubsky, A. N, Polshakova, O. M. (2013), "Expert evaluation of the activity of operators of erratic systems" ["Эkspertnaia otsenka deiatelnosty operatorov эrhatycheskykh system"], Radioelektronika, informatics, management, P. 141–143.

Published

2018-09-26

How to Cite

Куваєва, В. І., Ліп’яніна, Х. В., & Болтьонков, В. О. (2018). PROCESSING EXPERT INFORMATION IN THE CONTEXT OF COLLECTIVE ASSESSMENT OF A TOURIST INFRASTRUCTURE. INNOVATIVE TECHNOLOGIES AND SCIENTIFIC SOLUTIONS FOR INDUSTRIES, (3 (5), 35–43. https://doi.org/10.30837/2522-9818.2018.5.035

Issue

Section

Technical Sciences