Analytic Hierarchy Process AHP Research Articles

Research on Multi-Parameter Optimization of Conical Roller Line Processing Technology Based on Satisfaction Function

In the process of conical roller line processing, there will be problems such as low precision of processing parameters, long processing time, low utilization rate of machine tools, high rejection rate, and high processing cost, which will lead to low production efficiency. In order to solve this problem, it is necessary to iteratively optimize the size parameters, including inner diameter, ovality, and taper. By obtaining the optimal parameter combination, the size parameters in the production process are kept consistent, that is, the accuracy and performance of the workpiece during the processing are guaranteed so as to avoid the problem of quality difference, improve the production efficiency and reduce the processing cost. In view of the fact that there are often some constraints on the accuracy and efficiency in the machining process of tapered roller lines, how to optimize the parameters affecting the accuracy and the parameters affecting the efficiency to achieve balance between accuracy and efficiency in order to better meet the needs of customers for multi-objective optimization of the machining process has become the focus of research. Based on the existing research, this paper explores the multi-parameter optimization modeling and application in the machining process of tapered roller lines by constructing a satisfaction function, and then uses a genetic algorithm to iteratively search for the optimal solution by simulating natural selection and the genetic mechanism. Based on Python software v3.12, the production process of tapered roller bearings is simulated. The AHP analytic hierarchy process and CRITIC weight method are used to redistribute the parameter weights respectively. After eight iterations, it is concluded that the weight value assigned by the AHP analytic hierarchy process makes the satisfaction function value reach the best value of 0.99795 and tend to converge stably. The optimized parameter configuration significantly improves the machining accuracy and production efficiency of the tapered roller line. The optimal parameter combination is obtained: inner diameter: 9.9982 mm, ovality: 0.7 mm, taper: 0.5 degrees, production efficiency: 101.0.97 piece/h. In order to verify the optimization effect, the single value (X) and moving extreme difference (Rs) control charts in the measurement value control chart are used to analyze and verify the tolerance values of important parameters in the processing technology of the tapered roller line. The results show that the data points are all within the control limit, indicating that the processing process is in a statistical control state.

Evaluation of Basic Shirt and Pant Fit Using Analytic Hierarchy Process-AHP and 3D CLO for 20-25 Years Bangladeshi Men

Background: The proportion of a garment to its body is known as garment fit. To ensure comfort between the human body and clothing, fit is very important. At present, 3D simulation of garment fit has great potential for business purposes. However, in previous analyses, there were expert opinions on manual fit analysis, which is very popular in the industry. Objectives: The main objectives of this research are to ensure manual clothing fits with a live model with 3D CLO software evaluation. Method: In this study, up to 50 textile experts from industries have chosen to analyze the analytical hierarchy process (AHP) to evaluate clothing fit. Findings: In this study, small, medium, and large-sized basic shirts and pants (20–25 years old) have been developed for live model fit evaluation. According to the analytical hierarchy process (AHP), among small, medium, and large-sized basic shirts and pants, one or two sizes of garments have been tested for garment fit evaluations. The results of these fit evaluations are satisfactory, according to 50 textile experts, and are the main output of the 3D CLO software. Novelty: The analytic Hierarchy Process (AHP) is fully adopted by the Bangladeshi newly developed size chart, which is enhanced by the 3D CLO software. Keywords: Analytic Hierarchy Process (AHP), 3D CLO, Shirts, Pant, Garments, Bangladesh

Suitability analysis for implementing wind and solar farms based AHP method: Case study in Inner Mongolia, China

Abstract. As important green energy, wind power and photovoltaic power have great development prospects. The suitability evaluation of wind and solar power plants is a popular research field, which is related to the sustainable and healthy development of wind and solar power generation. In this paper, based on multiple dimensions such as land types, climatic conditions, topographic features and policy environment, we selected 10 indicators and combined (analytical hierarchy process) AHP method to build a suitability assessment model for evaluating the suitability of solar and wind power in Inner Mongolia, China. The findings revealed that, Inner Mongolia has a great potential to generate wind and solar electricity, for wind power, the category of ‘excellent’ regions covers 83855 km2 and represents 7.10% of the total surface area; for solar power, 7.66% (nearly 90420 km2) are classified as ‘excellent’. The suitability of both solar and wind energy in the western region is considered to have the most suitable development region, parts of Alxa League and Bayannur City have great potential for combined wind and solar power generation. The research results could provide important technical and data support for capacity evaluation and power station location decision.

Selected Teaching Competency for Physical Education Teachers under the Applied Talent Cultivation Background

Background and Aim: Nowadays, the deepening reform of the teaching mode of Universities is constantly developing with the improvement of demand, Skill-based talent training has become an inevitable requirement for universities to comply with the education reform. In recent years, sports professional training in management, teamwork, social interaction, and other aspects of comprehensive competency appear to be insufficient, which puts forward a higher demand for the teaching competency of university physical education teachers. Materials and Methods: Using IOC expert testing, 21 experts conducted three rounds of Delphi indicator screening, and the AHP analytic hierarchy process assigned weights to the indicators. The competency of physical education teachers in universities was finally obtained (3 first-level indicators, 12 second-level indicators, and 46 third-level indicators). Results: The final results were as follows: 1) In the first level indicators, professional knowledge is considered a fundamental factor for teaching physical education teachers in universities; 2) In the second level, subject-oriented knowledge was considered the most important core factor in the professional knowledge; The competency to organize and guide extracurricular activities was considered the most important core factor; Perceived attitudes toward careers was considered the most important core factor; and 3) In the third level indicators, basic theoretical knowledge of physical education, teaching experience and knowledge of lessons learned, knowledge of Sports Injury Prescription and Rehabilitation etc., which were considered the most important core factor. Conclusion: It is recommended that school leaders and physical education teachers in each University establish new teaching concepts, update their teaching philosophy, strengthen further training for physical education teachers in their schools, and aim at comprehensive development, to establish the high-quality teaching competence of physical education teachers’ universities.

Risk Assessment Index System of College Students’ Fitness Running—Based on AHP Analytic Hierarchy Process

Risk Assessment Index System of College Students’ Fitness Running—Based on AHP Analytic Hierarchy Process

Research on the construction of rural resource potential assessment system model based on NPH theory

In the modern urban and rural development environment, the impact of urbanization has led to blind development of rural areas and excessive artificial behavior. Rural revitalization and utilization can effectively solve the problem of mechanical and stereotyped use of rural resources. However, in the actual activation process, there are also problems such as good and bad, widely different evaluation standards, and neglecting the basics. This article builds a rural resource potential assessment system model to stimulate rural potential resources and highlight rural characteristic elements based on reasonable activation of the countryside. It integrates the natural ecology, local spiritual culture, and healthy life of the NPH concept into the assessment system, and gathers keywords through Cite Space. Through three stages: category research, IBM SPSS factor layer and indicator layer credibility and validity analysis, and AHP analytic hierarchy process screening, a rural resource potential assessment system model was constructed to provide direction for rural activation and utilization.

Improvement of the sustainable olive mill wastewater (OMWW) management in the region of Sousse (Tunisia) via ArcGIS Software

In Tunisia, the evacuation of olive mill wastewater (OMWW) in storage tanks remains the most common way to manage this toxic effluent. Several environmental damages are registered due to the inappropriate locations of this OMWW tanks. Indeed, the storage tanks locations must be carefully selected where hydrogeological, environmental as well as socioeconomic criteria must be simultaneously considered. For this purpose, an integrated approach based on Geographic Information System (GIS), Global Positioning System (GPS) and multicriteria method (Analytic Hierarchy Process AHP) were developed to asses OMWW tanks sustainable management in Sousse region (Tunisia). The present paper consists to evaluate the current management of OMWW tanks in comparison with the existing standards. The results showed that most of the sites were not in the appropriate zone and did not meet the necessary standards and the minimum requirement to put in a storage tank, as expressed by the exclusion criteria. This strongly emphasizes the seriousness of the deteriorated environmental situation in the region. An awareness of these dangers that threaten public health and have some other associated risks is important. Hard work to resolve this situation is urgently required.

A Novel High Efficiency Synthetic Fire Strike System

A new type of multi-artillery, multi-functional, multi-purpose synthetically-arranged battle group with high-efficiency fire strike system is constructed. The hierarchical structure and weight relationship of the system are determined by the AHP analytic hierarchy process, and then the inherent ability of each performance index is calculated by the fuzzy membership degree theory. These methods are used to establish the combat effectiveness evaluation model of high-efficiency fire strike system. The analysis shows that, for different damage targets, the deployment method of the efficient fire strike battalion has significantly improved the combat effectiveness of the traditional howitzer battalion. The research results have certain reference value for other arms to improve their weapon combat capabilities, conduct joint weapon operations and evaluate system combat effectiveness.

Evaluation and Prediction of the Future Development of Nuclear Weapons in the World Based on AHP and Neural Network

This paper first establishes a BP neural network model based on the steepest descent method to predict the number of nuclear weapon states in the next 100 years. Combining the AHP analytic hierarchy process model, it predicts the countries most likely to possess nuclear weapons in the next 100 years. Then, a linear regression method is used to predict the total number of nuclear weapons in 2123. Then calculate the killing range of nuclear weapons and establish an explosion location model. Finally, a model is established using cellular automata to determine the minimum number of nuclear weapons required to destroy the human survival environment, and to derive the limit range of the number of nuclear weapons. Finally, we describe our research results and propose some suggestions for the common destiny of all mankind.

Early Warning of Poverty Returning against the Background of Rural Revitalization: A Case Study of Two Counties in Guangxi Province, China

China has achieved the goal of building a moderately prosperous society in a well-rounded way by 2020. At this stage, effectively dealing with poverty and not returning to it has become the bottom-line task of rural revitalization. The purpose of this study is to construct a poverty-return early warning and evaluation system for X and Y counties in Guangxi. Based on the field survey data of 150 households from the questionnaire survey in X County and Y County of Guangxi Province, an early warning evaluation system for returning to poverty in the two counties of Guangxi Province is constructed. The AHP analytic hierarchy process is used to evaluate the early warning of returning to poverty for farmers. The BP neural network algorithm is used to verify the rationality of the method; the overall poverty relief situation in the two counties is stable and the living conditions are good. The early warning results are as follows: One household in X County has a severe early warning, six households have a slight early warning, and sixty-four households have no early warning; in Y County, six households had severe early warning, six households had mild early warning, and sixty-seven households had no early warning. For farmers, serious early warnings are mainly caused by the lack of labor force and low annual per capita net income, as well as the lack of the main means of livelihood and capacity. The characteristics of mild early warnings for farmers are mainly that the proportion of non-labor income is relatively high, and the farmers lack the ability and way of long-term development. Different suggestions are put forward for farmers with different early-warning levels, focusing on improving their viability and development ability.

Evaluation model of cultural heritage tourist attractions based on network virtual resource sharing and real-time information processing

With the continuous development of modern society, people’s demand for the network is also rising. Because of its powerful function, wide coverage, and other advantages, people in modern society have higher and higher utilization rate of the network, and many things are realized with the help of the network. At the same time, some new business based on the network is emerging. The rapid development of network technology makes many people rush for it. This paper mainly studies how to improve the cache technology, reasonable, and effective allocation of resources, so that people can get a better experience. This paper studies the suitability evaluation of tourism development of regional cultural heritage resources by using Delphi method and AHP analytic hierarchy process and infiltrates the evaluation items into various levels, such as natural environment conditions, social and economic conditions, resource combination levels, and so on. Through the analysis and comparison of different geographic information, we can clearly understand whether the region is suitable for tourism and the spatial differences of some regions. To a certain extent, it lays the foundation for the future development of cultural heritage tourist attractions, and the spatial analysis based on GIS, which is consistent with the tourism suitability evaluation index in the field of regional cultural heritage. When comparing the data with different measurement levels, we can directly determine the characteristics of the spatial differences of different cultural heritage resources, which depends on the value of resources and location conditions of a specific region.

Improving geometric road design through a virtual reality visualization technique

Traffic accidents could often be avoided with more in-depth studies of traffic and the geometric layout, using, for example, driving simulators to simulate traffic conditions. The objective of this study is to qualitatively evaluate three types of visualization techniques for examining a road project (one in a 2D printed project and the others using a driving simulator in a virtual immersion system and screen visualization). The results were evaluated by the Analytic Hierarchy Process-AHP method, used to establish different weights for the analyzed variables. For this, a questionnaire was applied to undergraduate students in Civil Engineering to compare the techniques. The results show that the immersive simulation visualization has sufficient quality and can contribute to the validation of geometric designs.

Study on Equipment Support Capability Assessment Method Based on Neural Network

The performance of military equipment keeps improving, and troops are equipped with more and more sophisticated weapons and equipment, highlighting the importance of equipment maintenance and support. Without strong equipment support capability, it is impossilbe to cope with the fast-paced and high-intensity modern warfare, and to effectively give play to the role and advantages of equipment systems integration. Therefore, it is of great significance to have a profound study of and improve the equipment support capability assessment method. Based on requirement analysis, we built an equipment support capability assessment indicator system of the Army Digital Medium-sized Synthetic Brigade in cross-domain operations. The weight of the assessment indicator system was determined using the AHP analytic hierarchy process. The equipment support capability assessment model was constructed. With the data obtained from the exercises using real equipment and system-of-systems (SoS) countermeasure simulation tests, we completed the assessment of the equipment support capability of the Synthetic Brigade using neural network algorithms.

Research and Analysis of AHP on the Factors Affecting the Development of Dalian Sports Culture Industry

This study takes the development of Dalian's sports and cultural industry as the research object, and investigates the current situation of the development of Dalian's sports and cultural industry by designing a questionnaire. The survey results show that Dalian's sports and cultural industry is relatively satisfactory in five aspects, namely, the level of industrial marketization, the market development of industrial products, the potential of industrial development, the guarantee of industrial development and the resources of industrial development, but in terms of the brand construction of sports and cultural products There is a certain gap in specific indicators such as the total consumption of residents. Because most of the factors that affect the sports culture industry are often difficult to quantify the promotion of the sports culture industry, it is also difficult to carry out quantitative evaluation of such factors. Based on this, the following research uses the data of questionnaire and field survey, and AHP analytic hierarchy process combining subjective evaluation and objective evaluation to analyze the factors that promote the sports culture industry in Dalian. However, it is worth noting that among many factors, there is a large gap in the brand construction of sports and cultural products in Dalian. At present, there is a lack of well-known brands of cultural products in Dalian. At the same time, the overall consumption of sports and cultural products in Dalian is insufficient, as well as the lack of professional staff and inadequate access ability, which also directly restricts the further development of the sports industry in Dalian.

Designing a Model of Student Support in e-Learning Using Qualitative Content Analysis and Analytic Hierarchy Process

Student support services, especially for students who study virtually, increase satisfaction, attract new students, complete the course, and improve overall student performance. Given the importance of student support in e-learning and the fact that student support models should be specific to the culture and economic conditions and technology of their context, the present study set to design a native model of student support in e-learning for post-graduate students. To conduct the research, first a systematic search was performed to extract the existing models of student support. Through forming an expert panel and rating the models, more compatible models with the context of Iran were selected. The interview questions were then extracted from the concepts of the models who scored the most in the expert panel session. In relation to the examples of student support, interviews were conducted with 22 university teachers, education officials, and post-graduate students studying in educational branches leading to a virtual degree of medical sciences. Using content analysis of codes, sub-categories and the resulting categories were extracted from the interviews. Finally, in the expert panel session, using the (analytic hierarchy process) AHP, the categories were prioritized and the model was designed. After analyzing the content of the interviews, four main categories, namely teaching and learning, interactions and communications, empowerment, and structural support were extracted and the final model of student support was designed using the opinions of e-learning instructors. Despite relatively similar similarities between the native model of student support for e-learning students and the existing models, this model, which is designed based on the needs of students and faculty and e-learning officials, places more emphasis on teaching, learning, interactions, and communications.

Suitability and Sustainability Assessment of Existing Onshore Wind Farms in Greece

Site selection for wind farm projects is a vital issue that should be considered in spatial energy planning. This study explores the deployment of onshore wind farms (OWFs) in Greece and assesses their suitability and sustainability using geographic information systems and multicriteria analysis techniques (the analytical hierarchy process—AHP and Technique for Order of Preference by Similarity to Ideal Solution—TOPSIS). Their suitability is assessed in terms of seven exclusion criteria and constraints provided in the Specific Framework for Spatial Planning and Sustainable Development for Renewable Energy Sources (SFSPSD-RES), while their sustainability is assessed in terms of nine environmental, technical-economic, and social assessment criteria in five different scenarios. The obtained results indicated that 81.4% of the existing wind farms are included within suitable areas and the highest percentage of improper siting refers to the installation of wind farms in sites that are within the boundaries of the Natura 2000 protected areas. The existing wind farms located in a part of Peloponnese, at the point bordering the Administrative Region (AR) of Attica, are characterized as more ideal in four out of five of the examined scenarios in the sustainability assessment. The proposed framework of this study is practical and effective in assessing the suitability and sustainability of existing wind farms in a country, and could contribute to spatial energy planning.

Pythagorean fuzzy $ N $-Soft PROMETHEE approach: A new framework for group decision making

<abstract><p>The use of Pythagorean fuzzy $ N $-soft sets (PFNSs) enables the examination of belongingness and non-belongingness of membership degrees, as well as their combinations with $ N $-grading, in the unpredictable nature of individuals. This research aims to enhance our understanding of a popular multi-criteria group decision making (MCGDM) technique, Preference Ranking Organization Method for Enrichment of Evaluations, under the PFNS environment, aiding in making effective decisions for real-life problems, as fuzzy set theory is directly relevant to real-life applications. The PROMETHEE technique's main principle is to calculate the inflow and outflow streams of alternatives based on the deviation of their score degrees, ultimately providing partial and complete rankings of the given options. To capture the uncertainty of human nature, which demands both the association and disassociation of the considered criteria and provision of $ N $-grading, the PFNS PROMETHEE technique is introduced in this research article. First, an Analytic Hierarchy Process AHP is used to check the feasibility of the standard weights of the criteria. The article then explains the detailed method of the fuzzy $ N $-soft PROMETHEE technique to rank alternatives, with all the steps presented in an extensive flowchart for better understanding of the methodology. Furthermore, the practicality and viability of the proposed technique are demonstrated through an example of selecting the best chemical element in cloud seeding, where the most suitable choice is identified using an outranking directed graph. The credibility of the PFNS PROMETHEE technique is assessed by comparison with an existing method. Finally, the proposed technique's strengths and weaknesses are discussed to demonstrate its efficiency and drawbacks.</p></abstract>

Evaluating logistic systems of building materials supply

There are many logistical tasks in the field of supplying construction materials, as well as financial and information flows in construction projects. All logistical processes related to the flow of resources, physical, informational, and financial, occurring between the different elements of the company's structure make up its logistical system. One of the many decisions made during the planning of a construction project is the choice of how to control the logistics system of supply. It is impossible to indicate a universal system that will optimally meet the needs of many construction projects due to the individual nature of each project. Properly selected type of logistic service and structure of logistic system allow one to reduce risk in supply chain management. This paper proposes a multi-criteria analysis to evaluate the models of the logistic system of supply in the execution of a construction project. The Analytic Hierarchy Process AHP was used for the comparative evaluation, allowing multi-criteria pairwise comparisons of the various systems. The proposed approach allows to indicate the structure of the logistic system, ensuring continuity of construction output and also reduction of logistic costs.

Land Suitability for Cocoa Cultivation in Peru: AHP and MaxEnt Modeling in a GIS Environment

Peru is one of the world’s leading exporters of cocoa beans, which directly impacts the household economy of millions of small farmers. Currently, the expansion and modernization of the cocoa-growing area require the zoning of the territory with suitable biophysical and infrastructural conditions to facilitate optimizing productivity factors. Therefore, we analyzed land suitability for cocoa (Theobroma cacao L.) production on the Peruvian mainland as a support measure for sustainable agriculture. To this end, the climatological, edaphological, orographic, and socioeconomic criteria determining sustainable cocoa cultivation were identified and mapped. Three modeling approaches (Analytic Hierarchy Process—AHP, Maximum Entropy—MaxEnt, and AHP—MaxEnt combined) were further used to hierarchize the importance of the criteria and to model the potential territory for sustainable cocoa cultivation. In all three modeling approaches, climatological criteria stood out among the five most important criteria. Elevation (orographic criteria) is also featured in this group. On the other hand, San Martin and Amazonas emerged as the five regions with the largest area ‘Highly suitable’ for cocoa cultivation in all three modeling approaches, followed by Loreto, Ucayali, Madre de Dios, Cusco, Junín, and Puno, which alternated according to modeling approach. From most to least restrictive, the AHP, MaxEnt, and AHP–MaxEnt modeling approaches indicate that 1.5%, 5.3%, and 23.0% of the Peruvian territory is ‘Highly suitable’ for cocoa cultivation, respectively.

Research on risk control, early warning, monitoring and decision system based on big data

In the process of survival and development of Internet financial enterprises, financial risk as an important influencing factor, it is of great significance to timely control and early warning it. Based on this, in order to improve the ability to resist enterprise for financial risk, based on the technology of data for the user's information, and combined with AHP analytic hierarchy process (AHP) to construct the evaluation model, construct a qualitative risk analysis system based on large data, for the Internet financial enterprises to control the financial risk early warning and decision support and help.