Hierarchy Analysis Method Research Articles

Special measures to promote supplementary professional education services: formation and evaluation of effectiveness

Introduction. The problem of promotion of supplementary professional education services is one of the important issues for attracting consumers of professional retraining and advanced development programmes, contributing to marketing attainments and a company’s efficiency in general. The solution largely depends on the developmental level of the market of supplementary professional education services at a regional level, the specifics and quality of training courses, as well as the relevance of promotion tools used by the organisation. Purpose of the research: development and approbation of the methodology for forming and evaluating the effectiveness of a special tool for the promotion of supplementary professional education services. Materials and methods. To determine the format of a special survey, an online questioning of 1,035 potential consumers was carried out; ten marketing and advertising experts were interviewed and selected by the Delphi method modified by J. Fowles; a questioning of 319 participants and 20 organisers of the special survey was undertaken. The expert judgement was arranged using the Hierarchy Analysis Method by T. Saati, including the processing of the data obtained in the course of the experts interviewing and the calculation of eigenvectors of the pairwise comparison matrix. Results. A methodology for forming and evaluating the effectiveness of a special survey was developed. As a result of the approbation, eleven qualitative indicators were evaluated, scoring 7.92 out of nine, totalling 88%. The quantitative indicators, particularly, the engagement index was 56.8%; the key performance indicator was 8.5% and the return on investment was 336.8%. As a result of the special survey, 27 participants acquired the Internet marketing course. Conclusion. The proposed methodology can extend the opportunities of organisations providing supplementary special education services in terms of selecting, planning and realisation of efficient promotion tools. The methodology can be applied to the formation and evaluation of different-format special surveys with regard to their specifics.

Groundwater Level Estimation With Analytical Hierarchy Method

Groundwater is an important component of the hydrological cycle and a critical resource for ecosystems and human life on Earth. Estimation of groundwater levels is important for strategic planning and management in many areas such as agriculture, industry, engineering studies, and drinking water. In particular, it is necessary to determine the groundwater accurately and clearly in order to carry out both ground and hydraulic works. In this study, the estimation of the groundwater level of Diyarbakır province was made by analytical hierarchy method. Groundwater level estimation was made using slope, geology, geomorphology, land use, precipitation, fault density, drainage density classes. Especially in areas where data supply is short, positive and accurate results can be obtained with AHP, which is a fast and practical application. It is expected that the findings obtained will benefit public and private institutions and organizations for future studies.

Underground coal gangue recognition based on composite fusion of feature and decision

Abstract The underground coal gangue separation and in-situ filling can reduce environmental pollution, promote the recycling of resources, and ensure the safe operation of mining. However, the harsh environment and abnormal working conditions are a significant challenge to the separation technology. Therefore, it is essential to develop a coal gangue classification method that is highly accurate, robust, and can handle abnormal working conditions. To address the above problems, this paper innovatively combines spectral modalities with image modalities to establish a multimodal fusion idea of composite fusion. Firstly, the feasibility of spectral-image fusion and effective fusion criterion are explored under the concat fusion strategy through various feature combinations and classification algorithms under ideal conditions to improve the performance of the model; Secondly, feature fusion is introduced into the single-layer perceptron and its potential in deep learning is explored to improve the performance of the model; Then the quantitative criteria of the judgment matrix are improved based on the analytical hierarchy method (AHP) to improve the scientificity and objectivity of decision making; Finally, the effectiveness of our method is verified by testing the bimodal dataset of simulated working conditions. The results show that the accuracy of the composite fusion of spectral and image features reaches 91.43%, and our AHP can be applied to all basic model scenarios, which makes the method highly applicable and feasible. The fusion of deep neural networks shows the strong potential of modal fusion in deep learning. This method can provide a new idea for intelligent separation of underground coal gangue.

Study of the future economists’ readiness to use artificial intelligence based on the hierarchy analysis method

Introduction. The article examines the problem of increasing the level of digital literacy of future economists in the context of interaction with artificial intelligence systems. The purpose of the study is to assess the readiness of future economists to use artificial intelligence in the context of digital prospects of the socio-economic space. Materials and Methods. The methodological basis of the study is the sustainable development strategy, which identifies educational opportunities, resources and technologies as a global driving force for achieving the Sustainable Development Goals. The main research method is T. Saaty’s Analytical Hierarchical Process method, which enables to build a flexible hierarchical model for studying the dynamics of future economists’ readiness to use artificial intelligence in the context of developing digital literacy. The authors conducted an online survey of students from the Financial University under the Government of the Russian Federation, Astrakhan State University, Omsk State Technical University, and schoolchildren from economics classes (Gymnasium 19, Omsk) to assess the future economists’ readiness to use artificial intelligence in the context of the transition to a digital economy. Results. The authors identified gender differences in respondents’ preferences in the use of artificial intelligence: female participants show higher results than the general sample, when choosing one answer about the purposes of personal use of artificial intelligence, and lower, when choosing a combination of answers, male participants show the opposite results, which is explained by the attitude towards risk in terms of gender stereotypes of behavior. When comparing the choice of respondents’ answers for different age groups (16-20 years old), no age peculiarities were discovered, as well as the ambiguous nature of the influence of artificial intelligence on the younger generation of future economists in terms of a decrease in the natural intelligence of young people against the backdrop of digitalization reaching all spheres of life. A high level of awareness of students and schoolchildren regarding the prospects and problem areas of using artificial intelligence in the field of economics and finance was also revealed. Conclusions. The study concludes that future economists are actively interacting with artificial intelligence systems, promoting the formation of digital literacy in the interests of sustainable development.

Методичні підходи щодо оцінювання конкурентоспроможності підприємства сфери послуг

The article considers methodical and practical approaches to determining the level of competitiveness of an enterprise as a prerequisite for its strategic development. The article identifies various approaches to assessing the competitiveness of enterprises, in particular in the context of the service sector: indicative method, hierarchy analysis method, competitive advantages, expert assessments, taxonomy of integral assessments, matrix methods, and others. The importance of taking into account internal and external factors, as well as a combination of quantitative and qualitative indicators to obtain an objective assessment is separately noted. An algorithm for a general plan for assessing competitiveness is proposed. The most objective results can be achieved through the combined use of various methods, which allows taking into account all relevant aspects of the enterprise.

ПРОКСИ ДЛЯ РАНЖИРОВАНИЯ КОМПАНИЙ ПО КРИТЕРИЯМ ИННОВАЦИОННОГО МЕНЕДЖМЕНТА

A study of the correspondence of the ranking series of innovative companies ac-cording to the criterion of stochastic domi-nance and using the hierarchy analysis method was conducted. Within the framework of the latter, an analysis of the factors of the innovative potential of companies and their assessment were carried out, quantitative values of the influence of factors were determined. A significant rank correlation was revealed between the results obtained using two methods.

Intermodal travel planning and decision support integrated with transportation and energy systems

The fast urbanization in China makes it all the more important to find sustainable solutions that are both comprehensive and energy-efficient. Because of its important role in lowering logistical expenses and pollutant emissions, intermodal transport is generally seen as an effective method of coordinating transportation operations, helping to address the growing economic and environmental issues. Considering the characteristics of a growing city, this article lays out a multi-criteria method for selecting which new initiatives for China's public transportation system should be prioritized. “Electric municipality bus,” “light rail system,” and “modernization to the current fleet and optimization” are the three enhancement initiatives that are outlined. Using transportation-related economic, social, and environmental sub-criteria, this research applies TOPSIS, an analytic hierarchy method and fuzzy approach for order preference by resemblance to ideal circumstance application, to prioritize transportation projects. The study aims to improve city life in Chongqing, China, by identifying the most environmentally friendly development projects. Applying the analytical hierarchy method (AHP), the relative importance of several sustainability criteria was established for use in making strategic decisions. The alternative projects for the given city have been ranked using the fuzzy TOPSIS approach. However, the investigated results show the supportive response of hybrid to environmental sustainability and vice versa for non-hybrid vehicles. However, the energy consumption in public transport remains a leading hurdle in sustainability across the three modes of transport: taxis, rail transit and buses. Finally, computer trains in public transport also surprisingly deal with environmental sustainability to keep the current & forthcoming generation from ecological harm. However, theoretical and empirical policy suggestions have been proposed to become clean & green shortly.

Optimal Wind Farm Siting Using a Fuzzy Analytic Hierarchy Process: Evaluating the Island of Andros, Greece

In recent decades, fuzzy logic and fuzzy multi-criteria decision-making systems have been applied in several fields. This paper aims to determine the optimal wind farm siting solution in a fuzzy environment. Therefore, the main research question of the present paper is whether and to what extent the uncertainty in the researcher’s judgments affects the ranking of wind farm siting solutions. The fuzzy analytical hierarchy method is applied to an existing case study of wind farm siting on the island of Andros, examining the stability of the final priorities of the alternatives under a regime of gradual increases in ambiguity, as well as whether the introduced ambiguity in the model corresponds to any uncertainty the researcher has during the process of scoring the criteria and alternatives. Five assessment criteria (wind potential, ground slope, distance from road network, distance from high-voltage network, and social acceptance of local population) and eight eligible suitable alternatives (A1–A8) for wind farm siting are considered in the computations. The methodology includes the fuzzification of initial decision-maker judgments, the calculation of fuzzy intermediate priorities (weights), the defuzzification of fuzzy intermediate priorities (weights), and the synthesis of intermediate priorities into final priorities of alternatives, according to the procedures of the crisp AHP (CAHP). Under the assumptions of the initial case study, the results show that the final priorities are quite robust when faced with increased ambiguity. In almost all the examined cases, the alternative initially chosen as the best, A1, is dominant, followed by A3. In addition, in all cases, social acceptance favors alternative A1, and wind velocity favors alternative A8. Therefore, fuzzy multi-criteria methods can be applied to determine an optimal wind farm siting solution when criteria with qualitative characteristics are used and the manifestation of preferences involves strong elements of subjectivity.

Investigation of the Highway Between Isparta-Ağlasun (Burdur) in Terms of Mass Movement Sensitivity

In our country, mass-ground movements such as landslides, rockfalls and avalanches are the most common types of disasters after earthquakes in terms of their destructive effects. The aim of the study is to determine the susceptibility of mass movements on sloping surfaces along the Isparta-Ağlasun road route. The study area includes approximately 41 kilometres of highway route between Isparta city centre and Ağlasun districts and its surroundings. Steep slopes on the road, loose soil properties in places, and torrential rains cause frequent rock falls, slope debris and mud flows on the study area. It is extremely important to identify the areas susceptible to ground movements along the route in order to take necessary precautions and prevent future loss of life and property. For this purpose, the parameters that are thought to cause mass movements along the road route were evaluated together with Geographical Information Systems programme and Analytical Hierarchy Method and the areas sensitive to low-medium-high and very high mass movements along the route were determined. The sensitivity map obtained was supported by field observations. With this study, areas sensitive to mass movements along the route were mapped and a database was created to help local administrators and planners.

Screening-Evaluation of Regional Investment Projects for the Provision of State Financial Support Measures

The object of the study is regional investment projects (RIPS). The subject of the study is a methodological toolkit for assessing the investment attractiveness of regional projects, including criteria, indicators, methods and stages of making informed decisions about government financial support measures in relation to them. The relevance of the study is due to the state’s interest in the socio-economic development of regions under the conditions of sanctions pressure and the need to ensure effective spending of budget funds allocated to regional investment projects, which requires the formation of new methodological recommendations for evaluating projects implemented within the framework of state financial support measures. The purpose of the study is to develop methodological recommendations for screening and evaluating regional investment projects in order for public authorities to make informed decisions on providing financial support. The methods of comparative analysis, classification, regulatory regulation, statistical indicators, screening and investment assessment, and the method of hierarchy analysis were used. Methodological recommendations on screening assessment of regional investment projects are proposed, within the framework of which: 1) the characteristics of RIP are identified and their classification is considered; 2) the criteria for assessing the investment attractiveness of the project and its contractor (partner) are defined: general (the purpose of the RIP, its significance, the quality of project documentation) and special (economic, budgetary, social, environmental efficiency, performance feasibility, compliance with ESG principles of doing business, business image); 3) evaluation indicators and their thresholds, the achievement of which means the expediency of investing budget funds in the project. It is concluded that in order to make a decision on the provision of state financial support to RIP, it is necessary to achieve target values by indicators corresponding to three components: “State” (customer), “Project” and “Partner (contractor). At the same time, using the hierarchy analysis method, it was found that the investment attractiveness of the contractor has the greatest importance (weight) when choosing a project. The choice of the performer is based on screening of applicants according to the specified criteria.

Improving Technologies for Developing Personnel Solutions

Relevance. Modern socio-economic conditions actualize the improvement of technologies for developing personnel solutions as the basis for successful personnel management. An effective management decision acts as a resource for the development of the organization, personnel and each employee. The article explores the relationship between the concepts of personnel management, modern trends in personnel management and technologies for developing personnel solutions. The work examines the main HR trends and their impact on the technology of personnel decisions, analyzes the process of making personnel decisions in pearl organizations, and proposes the structuring of personnel decisions based on the results of diagnosing problem situations and recommended methods of decision-making.The purpose of the study is to identify directions for the development of technologies for developing personnel solutions in the personnel management system of a modern organization.Objectives: explore the relationship between modern concepts of personnel management, HR trends and technologies of personnel solutions; based on the diagnosis of problem situations in personnel management, structure management decisions and propose appropriate methods for their development, adoption and implementation; apply the method of analyzing hierarchies in the process of developing a personnel decision for the objective selection of a candidate for a vacant position to form the labor potential of an industrial enterprise.Methodology. During the research, general scientific methods of analysis and synthesis, the method of system analysis, expert assessment, the method of analyzing hierarchies.Results. Problematic situations in personnel management are diagnosed as the basis for structuring personnel decisions; in accordance with the results of diagnosis and structuring adequate decision-making methods are recommended. The method of hierarchy analysis is used as a method for effectively selecting alternatives in the conditions of selection, selection and hiring of engineering and technical personnel of an industrial enterprise.Conclusions. It is advisable to substantiate the directions for improving technologies for developing personnel solutions based on an assessment of the relationship with modern concepts and trends in personnel management, based on the results of a study of the characteristics of personnel management in various types of organizations, according to the structuring of problem situations in human resource management.

Assessing supply security risk of renewable‐dominated power system via entropy‐based analytic hierarchy method

AbstractAmid escalating geopolitical conflicts and extreme weather, the transformation to a renewable‐dominated power system faces increasing supply security risks. The current literature lacks comprehensive multidimensional assessment index systems to quantify these risks. This paper first identifies the key factors influencing supply security in renewable‐dominated power system. Subsequently, it constructs a supply security risk assessment model based on a comprehensive evaluation method combining the analytic hierarchy process method and the entropy weight method. The effectiveness of the approach is then evaluated through simulations of supply security risks across 11 provinces, including Inner Mongolia and Sichuan. Finally, the analysis of supply security risks in the Sichuan power system is conducted at different stages, focusing on changes in supply security risk levels and risk transmission mechanisms during Sichuan power crunch events in 2022. The results show that during Sichuan's 2022 high‐temperature power rationing event, the comprehensive supply security risk score of the Sichuan power system dropped from 88.7 to 76.91. This decline was mainly due to a significant reduction in hydropower output, which lowered scores of the source‐side risk and consequently increased the system's supply security risk.

Application of Analytical Hierarchy Method in Selection of Raw Material Suppliers at PT Integrated Services Claims

Application of Analytical Hierarchy Method in Selection of Raw Material Suppliers at PT Integrated Services Claims

Concept of Social Entrepreneurship in the Development of Creative Economy Tourism in Indonesia (Case Study: Cirendeu Village)

Social entrepreneurship is currently viewed as a solution to address various social issues, including welfare, healthcare, education, poverty alleviation, and community empowerment, among others. This research aims to develop a social entrepreneurship concept suitable for Cirendeu Village. The concept of social entrepreneurship is closely related to the 8th Sustainable Development Goal (SDG), which emphasizes “Decent Work and Economic Growth.” Social entrepreneurship represents a form of business that not only seeks financial profit but also has robust social or environmental objectives. The methods employed in this research include the Analytic Hierarchy Process (AHP) and the Business Model Canvas. Research data were collected from 19 respondents through demographic statements and the distribution of AHP questionnaire matrices. The AHP method serves as a strategy weighting approach and assists in formulating priority strategies for the company. Furthermore, the Business Model Canvas method aims to describe the appropriate business model for the company based on the AHP analysis. The establishment of criteria is a crucial step in the decision-making process. Combining the Process Hierarchy Analysis Method (AHP) with the Business Model Canvas (BMC) can enhance effectiveness, ensuring that AHP criteria align with Business Model Canvas (BMC) elements. The AHP results indicate that the distribution channel is the top priority criterion, with a weight of 0.193. These priority results are then incorporated into the BMC strategy elements, combining both existing and new elements.

Applying an Analytic Hierarchy Process and a Geographic Information System for Assessment of Land Subsidence Risk Due to Drought: A Case Study in Ca Mau Peninsula, Vietnam

The increase in extreme weather events causes secondary hazards that can influence people and the environment enormously. The Ca Mau Peninsula is known as one of the areas most severely affected by drought, and excessive groundwater exploitation is one of the reasons leading to a higher risk of land subsidence. This study uses the Delphi method and the KAMET rule table to analyze and select indicators that affect subsidence. The study uses the analytic hierarchy process (AHP) analytical hierarchy method to evaluate the weights of influencing factors, combined with geographic information system (GIS) technology to overlay the map layers of the main influencing factors and build a subsidence risk warning zoning map of the study area. The influencing factors selected to evaluate the impact on land subsidence in the study area during the drought period included geological structure, soil characteristics, groundwater flow exploitation, water flow in the dry season, current land use status, and evaporation in the dry season. The weights of these factors were evaluated based on the synthesis of relevant documents as well as consultation with experts. The results indicate that nearly two-thirds of the Ca Mau Peninsula area is currently at very low or low risk of subsidence. Meanwhile, 23% of the area is at medium risk, nearly 9% is at high risk, and 0.1% of the study area is at very high risk. Subsidence risk warning zoning maps can provide a visual and general overview of areas with high subsidence risk, supporting managers in making reference plans for socio-economic development in the Ca Mau Peninsula.

Совершенствование транспортных технологических процессов железнодорожной сети

Purpose: To increase the efficiency of the railway transport network through the mutually beneficial interaction of lines of various categories. Methods: Methods of control theory, system analysis, synthesis and mathematical modeling were used. Results: The tools for determining the optimal location of logistics centers using the center of gravity method have been improved by taking into account the criteria for minimizing transport costs, category, specialization and social significance of the line, as well as determining the weight values of the criteria using the hierarchy analysis method. Practical significance: The proposed tools allow you to determine the location of the logistics center at the intersection of intensive and lowintensity railway lines, taking into account the criteria for minimizing transport costs, the specialization of the line and the social significance of the lines for the regions under consideration.

Integrated approach for groundwater potential exploration in Abbay River Basin, East Africa

This paper presents and examines groundwater potential zones with the help of remote sensing and GIS methods for controlling and investigating the geospatial data of each parameter. Groundwater is a very important source for water supply and others, considering its availability, quality, cost, and time-effectiveness to develop. It is virtually everywhere and yet variable in quantity. Because of several conditions, such as rapid population growth, urbanization, industrialization, and agricultural development, groundwater sources are under severe threat. Climate change plays an important role in the quality and quantity of groundwater potential. In addition, climate change severely affects parameters that influence groundwater recharge. Unreliable exploitation and poor quality of surface water resources tend to increase the decline in groundwater levels. Hence, it is necessary to identify groundwater potential zones that can be used to optimize and monitor groundwater resources. This study was conducted in the Abbay River Basin and identifies the location of groundwater potential for developing new supplies that could be used for a range of purposes in the study area, where groundwater serves as the main source for agricultural purposes rather than surface water. Seven selected parameters—lineament density, precipitation, geology, drainage density, land use, slope, and soil data—were collected, processed, resampled, projected, and reclassified for hydrological analysis. For the generation of groundwater zones, weightage was calculated using an analytical hierarchy method, reclassified, ranked, and overlaid with GIS. The obtained results of weightage were lineament density (37%), precipitation (30%), geology (14%), drainage density (7%), land use land cover (5%), slope (4%), and soil (3%). The consistency ratio estimated for this study was 0.089, which was acceptable for further analysis. Based on the integration of all thematic layers and the generated groundwater potential zones, the map was reclassified into five different classes, namely very good, good, moderate, poor, and very poor. The results of this study reveal that 1295.33 km2 of the study area can be considered very poor, 58,913.1 km2 is poor, 131,323 km2 is moderate, 18,557 km2 is good, and 311.5 km2 is very good. Any groundwater management project performed in the better regions would offer the greatest value. A similar study would be valuable before planning any water resource development activity, as this would save the expense of comprehensive field investigations. This study also demonstrates the importance of remote sensing and GIS techniques in mapping groundwater potential at the basin scale and suggests that similar methods could be applied across other river basins.

ANALISIS STRATEGI PENGEMBANGAN EKONOMI LOKAL MASYARAKAT PESISIR DI DESA LABUHAN BAJO

This research aims to analyze strategies for optimizing local economic development (PEL) in Labuhan Bajo village, Utan sub-district, Sumbawa district. The research sample was 30 respondents related to local economic development strategies. The data used in this research uses primary data and secondary data, where data is taken by observasing and distributing questionnaires directly with respondents or the best experts and obtaining a clear understanding from existing literature. The analysis technique uses the process hierarchy analysis (AHP) method with the help of the expert choice application. The results of this research show that the priority strategies for optimizing local economic development in Labuhan Bajo village include : 1) Human Resources, 2) The role of government and society, 3) Regional marketing, 4) Capital, 5) Natural resources, 6) Techology. 
 Keywords: Development; Local economy; coastal; strategy

The impact of neurotransmitters on business decision-making: a nexus of economic and medical considerations

The article highlights the interdisciplinary nature of decision-making theories and explores the pivotal role of business decisions in organizational success. It provides a comprehensive overview of decision-making models and delves into the impact of neurotransmitters, specifically dopamine and serotonin, on the decision-making process. The intricate relationship between stress, cortisol, and decision-making is thoroughly examined. The article concludes by discussing the utility function, considering the influence of neurotransmitters within the analytic hierarchy method of decision-making and presenting an axiomatic mathematical dependence.

Анализ по методу иерархий информационных инструментов в обеспечении расчетов стоимости в гражданском судостроении

Currently, the development of shipbuilding is one of the critically important areas of Russia's industrial policy. According to the “Strategy for the development of the shipbuilding industry for the period up to 2035”, optimization of production facilities, their modernization and technical re-equipment, among others, are identified as its key tasks. The issue of digitalization of shipbuilding design is relevant, namely, the development and implementation of effective digital tools for the modernization and development of work on the design of shipbuilding facilities in terms of work on determining the cost of their construction and preparation of feasibility studies. The article considers the creation of a concept for the structure of digital tools to ensure the production of cost calculations in the process of designing civil shipbuilding facilities. A comprehensive analysis of the digitalization processes of the industry and the dynamics of the development of regulatory and methodological support for calculating the cost of designed products made it possible to formulate the key advantages of introducing digital technologies in the paradigm of digital transformation of shipbuilding, as well as to justify the expediency of searching and developing relevant digital tools in ensuring production processes in shipbuilding, in particular when preparing cost calculations for projected facilities. The choice of the most effective concept of an information tool in providing cost calculations for projected objects in the field of civil shipbuilding was carried out using the hierarchy analysis method. The criteria by which an effective alternative was chosen are formulated, three possible alternatives of an information tool in providing cost calculations for projected objects in the field of civil shipbuilding are considered.