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Multicriteria Decision-Making Under High-Level Uncertainty In Tourism: Z-Numbers Based Approaches
(2022-01-22)
Nuriyev, Aziz
;
Baysal, Ahmet Bahadir
The objective of this paper is to study the applicability and effectiveness of the decision-making models in the tourism sector under high-level uncertainty, formalized by Z-information. The topicality of this issue is significantly increased after the outbreak of the pandemic. Fuzzy multi-criteria decision-making (MCDM) models applied in the tourism area are partially solving this problem. But in these models, researchers are not paying due attention to the reliability of the information. One approach available for the formalization of such high-level uncertainty is the use of bi-component Z-number = (A, B). Components of the Z-numbers are expressed by perception-based fuzzy numbers. Part A defines the value of the uncertain variable and part B defines the confidence in this value. This approach allows considering the fuzzy-probabilistic nature of the information used for decision-making in tourism. In the paper, we are describing in detail the Z-numbers-based approach for the tourism destination selection task solution under high-level uncertainty. The model has been developed for the water sports tourism destination selection in Turkey. Initial information for model construction was derived via surveys. For the solution of this task, the Z-TOPSIS method is used. Results of the task solution illustrate the efficiency of the Z-numbers-based model for destination selection and the applicability of the approach for other MCDM tasks in tourism.
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Selection Of The Hotel Suppliers Under High-Level Uncertainty
(2022-01-28)
Nuriyev, Aziz
;
Baysal, Ahmet Bahadir
The objective of this paper is to develop a model for supplier selection under high-level uncertainty in the decision-making environment. The pandemic seriously affected the economic well-being of the hospitality industry, decreased travel and tourists` numbers, undermined hospitality service delivery systems and their financial stability. Business structures and relationships, developed in the industry during several decades of stability, have been destroyed fully or partially, and service quality is deteriorating. One of the consequences of the pandemic is supply chains disruptions, caused by the inabilities of suppliers to provide services according to customer requirements. Given that, it is necessary to solve the problem of supplier selection for the tourism sector taking into consideration specifics of the pandemic and post-pandemic conditions. During pandemic and post-pandemic recovery, internal and external environments of the business tasks are characterized by the high-level of uncertainty, insufficiency, and subjectivity of the available information. Supply chain management task is a classic example of such tasks, and it is necessary to develop an approach that can operate with uncertainties and subjectivity of various nature, inherent to this decision-making problem. In such circumstances, traditional probabilistic or fuzzy methods may not always be relevant for formalizing uncertainties, and the use of perception-based dual-natured (fuzzy & probabilistic) Z-numbers may be more appropriate. Z-number-based multi-criteria decision-making (MCDM) method ZVIKOR was used to select alternatives (suppliers) for the hotels. The criteria for the supplier selection were determined by Delphi analysis. The supplier selection task is solved on the example of hotels in Turkey and Azerbaijan. Results of the research illustrate the applicability of the approach for solving MCDM problems in the tourism sector under conditions of highlevel uncertainty.
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Studying the influence of selected controlled factors on the coefficient of sliding friction through experimental planning methods
(The Oil and Gas Institute - National Research Institute, 2024-01)
Beyali Ahmedov
;
Zabit Aslanov
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Estimation of the equality of the beamless sucker-rod oil pumping unit by the value of the consumption current
(The Oil and Gas Institute - National Research Institute, 2021-09)
Beyali Ahmedov
;
Anar Hajiyev
;
Vugar Mustafayev
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The Research of the Engine-Reducer Assembly in the Traction Transmi̇Ssi̇on System
(University of Zilina, 2025-07-01)
Ayaz Abdullaev
;
Ilham Huseynov
;
Israil Elyazov
;
Elchin Yusifzade
;
Ramin Abdullaev
;
Allahverdi Sharifov