Analytic Hierarchy Process AHP Research Articles

Fuzzy Type-2 Trapezoid Methods for Decision Making Salt Farmer Mapping

The need for domestic salt every year has increased, both for consumption and industrial salt. Some of the fisheries service programs include providing assistance to people's businesses, providing geomembrane, and online marketing training. A large number of salt farmers and official work programs have caused the implementation of the program to be less than optimal, resulting in low salt production. This study uses a type-2 fuzzy method by integrating two methods, namely type-2 Fuzzy Analytical Hierarchy Process AHP (FAHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Fuzzy type-2 has higher accuracy than fuzzy type-1 and is more efficient and more flexible in determining the linguistic scale for criteria. The Fuzzy Analytical Hierarchy Process AHP (FAHP) interval is used to determine the weight of the salt farmer mapping criteria. Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS), used to determine. The findings of this study are that the indicators that most influence the mapping of salt farmers are land area, marketing, and market. The results of the mapping of salt farmers are the classification of salt farmer class groups and recommendations for improvement for each salt farmer. Hybrid type-2 Fuzzy Analytical Hierarchy Process AHP (FAHP) method and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), can be used for mapping salt farmers based on the consistency ratio value below 10 percent, 37 percent enter high class, 28 percent enter the middle class and 35 percent enter low class

Construction of Cultural Soft Power Evaluation Index Education System Policy Based On AHP

Aiming at the low evaluation confidence of the traditional cultural soft power evaluation index system, a new cultural soft power evaluation index system is constructed based on AHP. This paper discusses the connotation and constituent elements of cultural soft power, designs a comprehensive evaluation index system of cultural soft power from the five aspects of cultural cohesion, cultural security, cultural productivity, cultural attraction and cultural influence, and calculates the weight of each index by using AHP analytic hierarchy process, It can be used as a reference for the theoretical research and practical operation of cultural soft power. The experimental results show that the evaluation confidence of the experimental group is significantly higher than that of the control group, which can solve the problem of low evaluation confidence of the traditional cultural soft power evaluation index system. The Bay area economy is the most significant model of current coastal economy, which has been effectively adopted across the globe. Similar natural circumstances and processes have led to several successful models, each with its own unique set of blueprints and philosophies. China's 13th Five-Year Economic and Social Development Plan identifies the Greater Bay Area as consisting of two special administrative areas and nine cities in Guangdong. It serves as both the precursor of China's reform and opening up and the growing pole for economic development in 2016.

The AHP (1-9 Value Scale) Level Method to Analyze the Development of Logistics under the Perspective of Low-Carbon Environmental Protection: Taking Shandong Province, China, as an Example

Reducing the total carbon emissions of the logistics industry is one of the basic requirements for the development of a low-carbon economy. Based on the AHP analytic hierarchy process and the 1-9 value scaling method, an evaluation index system for the low-carbon development of the logistics industry is constructed. At present, the development of low-carbon logistics requires the combination of low-carbon technology and low-carbon management to ensure the integrity and dynamics of low-carbon logistics control. The results of this study show that in the AHP index analysis of the development of logistics industry in Shandong Province, compared with 13 evaluation indexes of low-carbon logistics and traditional logistics, low-carbon logistics is significantly better than traditional logistics. Among them, the implementation of low-carbon logistics policy system has increased the energy utilization rate to 88.72%, the recovery rate of warehousing and logistics waste to 92.11%, and other relevant indicators have also been improved and optimized to varying degrees. Based on the EKC model curve, the total carbon emissions from 2015 to 2019 showed a downward trend month by month. The future development of low-carbon logistics mainly starts with reducing the total carbon emission of logistics transportation and improving energy utilization. Aiming at the main influencing factors of the development of low-carbon logistics, this paper puts forward specific measures for the development of low-carbon logistics, in order to promote the development of low-carbon logistics.

User Experience Evaluation of B2C E-Commerce Websites Based on Fuzzy Information

With the popularization of personal computers and the development of the Internet, the number of netizens is increasing. The emerging B2C e-commerce platform shows the fierce competition in the e-commerce market. B2C e-commerce distribution is faced with the problems of high distribution cost, long time, and poor quality, which leads to the poor user experience of B2C online shopping and the lack of trust in e-commerce enterprises. This research mainly discusses the user experience evaluation of B2C e-commerce websites based on fuzzy information. First, the AHP analytic hierarchy process is used to construct a hierarchical evaluation system, and then, the two-by-two judgment matrix is compared to the index factors at all levels, and experts are invited to score the method to determine the weight of each index to test whether it meets the consistency requirements. Finally, the fuzzy comprehensive evaluation method is used to perform fuzzy conversion of the original weight, and the membership degree set of the user experience evaluation factors is given, and the fuzzy comprehensive calculation result of the B2C website performance level is calculated. By combining in-depth interviews with website users and questionnaire surveys to analyze the behavioral characteristics of user information navigation, summarize the demand list for product search, product selection, product comparison, and product detail page browsing, and provide a reference for the design and development of information navigation. Calculating the decision model, mainly using fuzzy calculation, calculate the foreground value under each attribute and get the comprehensive foreground value. By comparing with the decision-making behavior model constructed by expected utility theory, it is found that the behavioral decision-making model constructed in this paper based on prospect theory can be closer to the actual situation. In this study, the satisfaction with the function provided reached 68 points, the emotional response 66 points, the aesthetic response 70 points, and the information construction 64 points. Through empirical research, the key factors affecting user satisfaction of B2C e-commerce logistics distribution are summarized, and a B2C e-commerce logistics distribution evaluation system based on user experience is established. This research will provide methods and ideas for the research on user experience design of e-commerce websites and the research and development of related network products. The article helps to draw out the countermeasures and suggestions for the development of the current B2C e-commerce logistics distribution.

Comprehensive evaluation of forest health consumption satisfaction based on analytic hierarchy process and fuzzy comprehensive evaluation method

In order to explore the current situation of consumer perception satisfaction of forest health industry service supply in the aging market of the three northeastern provinces, in order to further help the forest health industry in the three northeastern provinces to expand and optimize the aging market. This paper uses the questionnaire survey method to collect the questionnaire among the elderly population in the three northeastern provinces and the expert group in the field of forest health. Among them, 587 valid questionnaires for the elderly population are recovered, and the effective rate of the questionnaire is 96.23 %. In view of the questionnaire index data, this paper first calculates the index weight of the 10 expert evaluation questionnaire data by AHP analytic hierarchy process, and then combines the evaluation weight of the index to deal with the index satisfaction of the elderly population, and calculates the FCE fuzzy comprehensive evaluation score of satisfaction. Next, through the comparative analysis of the index importance-satisfaction ranking, further analyzes the supply and demand development status of forest health industry service supply index in the aging market. The results show that the evaluation weights of the first-level indicators are as follows : medical care ( 0.4464 ) > infrastructure ( 0.4226 ) > leisure and entertainment ( 0.1310 ). The lowest satisfaction score of the target layer, 3 factor layers and 15 index layers was 74. 69, and the highest score was 79. 66, and each layer was in a good stage at this stage. At present, nine indicators, including basic accommodation services, public service facilities, accommodation, commercial shopping areas, folk custom activities, tourism vacations, forest health lectures and forest health and recuperation cultural centers, are higher than the evaluation of consumer satisfaction, which belongs to the category of ' advantage maintenance '. For its indicators, there is a certain degree of development lag and other issues, belongs to the ' continuous reform ' indicators. Finally, based on the research conclusion, this paper discusses the optimization of the service supply of the aging market of forest health industry in the three northeastern provinces and the effective improvement of the satisfaction of the elderly population with the consumption of the evaluation index, and puts forward policy implications.

Moving Target Depth Information Extraction Based on Nonlinear Strategy Network

To improve the effect of depth information extraction of moving targets in the network, a nonlinear strategy-oriented method is proposed. With the advancement of science and technology, especially in wireless networks, a large amount of data is provided to people every hour of every day. Hence, it can increase the demand for data analysis tools. Nonlinear system modeling by using rough set theory to extract valuable information from large amounts of information, and then through the analytic hierarchy process (ahp) to determine the effect of input factors, then use particle swarm optimization algorithm (PSO) to find the accurate function, and USES the adaptive and population catastrophe and vaccine algorithm to make it to the local optimum, to achieve the aim of the complex. The experimental results show that, compared with M2 and M1 for 30 groups of samples, the model obtained by using M2 has a better fitting effect on the actual curve. The error of M2 is within ±3%, and the error of M1 is within ±6%, and the error is relatively large. The accuracy of the proposed method is higher than that of the neural network method, which proves that the nonlinear strategy is effective in the actual target depth information extraction.

Avaliação de sistemas de gerenciamento de processos de negócios (BPMS): análise multicritério dos softwares Bizagi e Bonita

Introduction: This article presents the results of a research work that evaluated the operation of the BPMS Bizagi and Bonita, used to manage the process of hiring access services to digital books databases, conducted by the Central Library of the Federal University of Paraíba. Objective: The article had as goal to analyze and compare two softwares used for mapping the informational flow in business processes -the Business Process Management Systems (BPMS) Bizagi and Bonita. Methodology: The softwares were used for mapping and analyzing the process flow of contracting services for access to digital book databases, conducted by the Central Library of the Federal University of Paraíba. They were evaluated based on the recommendations of the Analytic Hierarchy Process AHP, considering seven criteria: license type, simulation tool, user support, usability, languages, training and documentation. The methodology adopted in this article is classified as descriptive, with a mixed quanti/qualitative approach. Results: As a result, it was possible to evaluate and verify, through the techniques of AHP, the functioning of Bizagi and Bonita as tools for mapping the information flow in the presented business process, observing their performances. Conclusion:At the end of the research, it was concluded that Bizagi was the most appropriate BPMS for the selected criteria.

Research on maintenance method of relay protection state based on combination weight and gray relation

Relatively independent evaluation parameters are selected from many parameters through pedigree clustering.Learning the analytic hierarchy process (ahp) and entropy weight method can determine the weight, and at the same time to understand the error of the analytic hierarchy process (ahp) and entropy weight method is large, so the combination of the subjective and objective weight obtained by the two methods, using the improved entropy weight-ahp method to determine the weight. The improved weight calculation method has a clear hierarchical structure, which not only considers the influence of subjective and objective factors, but also makes full use of the weight information in the hierarchical structure. Considering the uncertainty of information, gray relation is adopted to deal with the data, so as to make maintenance rules.

Neutrosophic Multi-Criteria Method for Selecting Optimum Market

The Indonesian rolling stock maker's target market and business strategy are analyzed here—the study's planning, data, and technique. To achieve sustainable growth across the board in the power generating industry, we concentrate on understanding the critical variables driving sustainable development in a market context unlike before. To identify the most vital aspects to consider while dealing with ambiguous rules, a methodology using Multiple-Criteria Decision-Making (MCDM) was presented. To address ambiguity and bring the problem-solving process closer to reality, we created a unique method that integrates MCDM techniques. Analytical Hierarchy Process AHP was employed in this investigation. To zero in on our ideal clientele, we turned to the AHP technique. This strategy considers quantitative aspects such as market characteristics and degree of competition when making decisions. The results indicate that rolling stock manufacturers have good reason to invest in expanding their share of these markets. However, despite the many prospects available in this field, the rolling stock producer faces a significant obstacle: the inability to adequately fund the pursuit of a more considerable portion of the market

L'Oréal Group Strategic Analysis and Recommendations

As the world's largest beauty group, the future development trend of L'Oréal Group will always affect many industries around the world. However, while facing the tremendous pressure of competition in the same industry, the pressure of the new crown epidemic has suddenly come, and the L'Oréal Group is facing an unprecedented crisis. After studying the 2020 strategy released by the L'Oréal Group, in order to study and analyze the future development strategy of the L'Oréal Group, and provide a theoretical basis for the development of the company, the author based on swot analysis and AHP analytic hierarchy process, through qualitative analysis and quantitative analysis, constructed Its AHP hierarchical structure model and weighted histogram, after studying the data, came to the conclusion that L'Oréal Group should adopt the WT strategy in the future, and put forward 6 related suggestions.

Evaluation and Application of New-Semarang Coastal Resources Management

The beach in Semarang’s city has a variety of uniqueness with a variety of types and potential. The beach located on the north coast of Semarang city has various characteristics and strengths, and weaknesses. In overcoming differences in management and avoiding misunderstandings between governments, it prioritizes managing the coastal location. At least four integrated coastal management sub-systems consist of Human Resources Management, Accessibility, Beach Location Infrastructure, and Management Policies. This research was conducted from April 2020 until August 2020, to determine the most appropriate alternative strategy to be chosen and implemented in coastal location management. Study analysis with an Analytical Hierarchy Process-AHP analytical technique use with Application R - Open sources. The integrated coastal area management can as the most appropriate coastal location management strategy to implement the current situation and future planning. Alternative methods planned for use are the Availability of a Security Guard, Ease of Access with Signage, Parking Lots, and Rule or regulations to an Integrated Location. The study results stated that the best strategy is management collaboration in the form of interrelated rules.

An Analysis of Preferences in Housing Demand by Means of a Multicriteria Methodology (AHP). A More Sustainable Approach

This paper examines key aspects of the behavior of housing demand from a sustainable standpoint. Most studies have mainly focused on housing supply, looking at quantitative predictions without considering the qualitative relationship found between housing values and housing demand on a sustainable and microeconomic scale. We used a multicriteria decision methodology (analytic hierarchy process—AHP) for the analysis of preferences in demand, based on the theory of multi-attribute utility of housing, to determine the relative importance of each characteristic of housing and its influence on the decision-making process. For this purpose, we carried out the study over three main groups of stakeholders in the housing market: real estate surveyors, real estate agents, and housing buyers (the latter representing the housing demand). Results show that although there might be some slight discrepancies among the three groups in the decision-making process and the weighting of housing attributes, the three groups agree in most of the process, especially when defining the criteria and the importance that each criterion has on the process of valuation. This study provides important managerial and sustainable implications for the real estate market related to urban public policy, as we highlight which criteria are most preferred.

Analytic Hierarchy Process Analysis for Industrial Application of LNG Bunkering: A Comparison of Japan and South Korea

From January 2020, the International Maritime Organization has regulated ship emissions to reduce sulfur content. As an alternative to this, LNG bunkering was proposed, and infrastructure and ships were deployed. Therefore, we used analytic hierarchy process AHP techniques to determine optimal methods of LNG bunkering for shipyard safety. First, we conducted a literature survey on the concept and type of LNG bunkering, global LNG bunkering trends, and features of Japan and South Korea cases and compared them. Thereafter, an expert survey was conducted, and survey data was analyzed using AHP techniques. Finally, we derived optimal methods applicable to shipyard industry. The analytical results revealed that the derived priority of the optimal LNG bunkering method of shipyard was in the order of the STS method, TTS method, and the PTS method. The result of this study can serve as a theoretical basis to make LNG bunkering safer and more economical in shipyards to prepare for the expansion of demand of LNG-fueled ships and LNG. However, this study inevitably has limitations of ranking reversals paradox as it was conducted by experts, assuming no weights to STS, TTS, or PTS.

CMMN evaluation: the modelers’ perceptions of the main notation elements

Case Management Model and Notation (CMMN) has been introduced as a graphical modeling language targeting the modeling of human-centric processes. Despite its growing reputation since 2016, when the OMG standant was released, the usage and the adoption potential of CMMN is not yet evaluated. The goal of this paper is to evaluate CMMN language and the contribution of its main notation elements to its future adoption, based on the experience of modelers. A CMMN workshop was conducted, where groups of modelers modeled two different human-centric, real-world processes with CMMN. The effectiveness and efficiency of the language and modelers’ usage experience were evaluated. Their perception of the role of the CMMN notation elements to their future adoption CMMN have been recorded through a survey. A multi-criteria decision making method (Analytic Hierarchy Process–AHP) was utilized for analyzing the answers and generating the results. The evaluation results showed that CMMN language could be adopted for modeling non-structural processes and the study participants showed a positive attitude towards adopting CMMN driven by the fact that they overall perceived it as useful. To the best of our knowledge, this is the first attempt to evaluate CMMN language’s usability and prospects of adoption. Moreover, this is the first empirical study that explores the syntax of a process modeling language and its effect on its usage and adoption. Overall, since interest in CMMN is increasing, this work could inspire future researchers and practitioners to further explore the CMMN usage and adoption potential.

Analisis Hasil Pendukung Keputusan Mendapatkan Rumah Dinas Perusahaan Menggunakan Metode Analytical Hierarchy Process (AHP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)

The Bridgestone company is a company engaged in the plantation sector, currently it has employees of 230 staff/employees, every employee is entitled to an official residence, This requires the company to conduct a decision analysis to determine the official residence for each employee who will apply for the official housing facility. to reduce the level of lack of transparency and accuracy of data that can cause turmoil and gaps for each employee. Then an analysis of the results of decision support for obtaining a company official residence was carried out using the Analytical Hierarchy Process (Ahp) and Technique For Order Preference By Similarity To Ideal Solution (Topsis). The final results of the AHP method trial evaluation result in accurate data where there are 5 employees who are truly in the very feasible category to get an official residence. Whereas in the AHP method there are differences in the results found, where it is found that the number of employees is 1 person who should be in the feasible category but belongs to the very feasible category, so that the number generated from the TOPSIS method is 6 people. With these 2 methods, it can produce an accuracy value of around 60% by entering all the specified criteria.

哈尼梯田湿地生态系统健康评价指标体系构建

为了获得梯田湿地生态系统健康评价的指标体系，以云南红河哈尼梯田湿地为例，基于对该湿地维持机制的分析，构建了包括生态特征、功能整合、社会与政治3个方面共20个指标的健康评价指标体系以及各个指标的健康阈值分级表。同时，利用AHP层次分析法确定了各指标的权重，运用综合评价法对梯田湿地生态系统的健康状态进行评价。本研究构建的评价指标体系解决了哈尼梯田湿地生态系统缺乏健康评价指标体系和支持理论的问题，为评价该类型湿地生态系统的健康状态提供指导方法，能够依据其评价结果为后续湿地健康质量的提升及湿地的可持续利用发展提出改进策略。;Wetland plays an extremely important role in maintaining biodiversity, improving water quality, regulating microclimate, and protecting water and soil. With the unreasonable human activities, the ecological problems of wetland are becoming more and more serious, so the evaluation and diagnosis of wetland ecosystem health is extremely urgent. Hani terrace wetland is a special artificial paddy field wetland in southwest mountain area. It has not only important wetland ecological function value, but also agricultural production and national cultural value. At present, the research on Hani terrace wetland ecosystem mainly involves economic culture, ecological security and landscape tourism, while the research on ecosystem health evaluation is few. By analyzing the maintenance mechanism of the ecological balance of Hani terrace wetland and establishing a scientific health evaluation system to evaluate the health of the wetland, we can better understand the health status of the wetland, provide scientific support for the planning and utilization of the wetland and promote the sustainable development of the wetland. The unique vertical spatial structure of forest-village-terrace-river in the Hani terrace wetland is the maintenance mechanism of healthy balance of wetland ecosystem. Each part is independent and indivisible, with integrity. At this time, Hani terrace wetland ecosystem is not only the ecological subsystem of terrace wetland, but also the health evaluation of the whole forest-village-terrace river system. Based on the analysis of the maintenance mechanism, this paper constructed a health evaluation index system of 20 indicators including ecological characteristics, functional integration, social and political aspects and a health threshold grading table of each indicator. Meanwhile, AHP analytic hierarchy process is used to determine the weight of each index, and comprehensive evaluation method is used to evaluate the health status of Hani terrace wetland ecosystem later. The evaluation index system constructed in this study solves the problem of the lack of health evaluation index system and provides a guiding method for the evaluation of the health status of this type of wetland ecosystem. According to the evaluation results, improvement strategies can be proposed for the subsequent improvement of wetland health quality and sustainable utilization development of wetlands.

Research on Ordering and Transportation Strategy of Supply Chain Enterprises Based on AHP Analytic Hierarchy Process and Entropy Weight Method

With the intensification of market competition, the improvement of the efficiency of enterprise logistics supply chain is becoming more and more important to improve the net profit of enterprises. Therefore, it is a research direction of both theoretical significance and practical value to study how to choose the best supplier and make order transportation decision. Therefore, this paper establishes a reasonable supplier selection index system to select the 50 most important suppliers, and first selects 5 secondary indicators and 12 tertiary indicators. Then, based on the Pauta criterion, the abnormal suppliers are excluded by the average supply difference; secondly, this paper uses AHP analytic hierarchy process to weight the second-level index, calculates the comprehensive weight based on three weight calculation methods and uses entropy weight method to weight the third-level index, so as to establish the supplier selection index system; then through the fuzzy comprehensive evaluation model to calculate the score of each supplier, so as to get the top 50 suppliers.

Decision Support to Sustainable Parking Management—Investment Planning through Parking Fines to Improve Pedestrian Flows

With the urbanization and expansion of cities, which have taken place over recent decades, new demands and problems are emerging, among which is the problem of inadequate transport infrastructure. The number of motor vehicles is growing, while transport infrastructure is not following that growth fast enough. One of the problems that arises is the insufficient number of garages and parking lots, causing an increase in illegal parking on sidewalks, which impedes and endangers pedestrian traffic. This paper proposes a new decision support concept (DSC) for the management of illegally parked cars in urban centers, which offers a method that can contribute to solving this problem and improving the flow of pedestrians on city roads. Due to its complexity, the problem addressed in this research is recognized as a multicriteria one and therefore the proposed model is based on the use of multicriteria analysis methods—more precisely, the Preference Ranking Organization Method for Enrichment Evaluation—PROMETHEE, and the analytic hierarchy process—AHP. The proposed DSC is validated in the city of Split (Croatia), more precisely in the neighborhood of Sućidar, which shows that this methodology is applicable and effective for finding not a temporary but a permanent solution to the problem described.

Quality yarn index using AHP and Fuzzy method

The yarn quality depends on many parameters: characteristics parameters, mechanical and physical properties. Making the hypothesis that the quality of the yarn is a multicriteria problem, in this paper, we propose a new method to determine the Quality Yarn Index QYI based on Analytic Hierarchy Process AHP and Fuzzy theory. A questionnaire was designed for experts of each field (weaving and knitting) to evaluate the relative importance for each property to determine coefficients of the AHP matrix. Results revealed that matrix coefficients changed with yarn application (weft or warp weaving and knitting) The QYI can be used in any application, where a rapid decision is needed, to evaluate the global quality of yarn and to make a comparison between different yarn qualities

Effect of using various weighting methods in a process of landslide susceptibility assessment

This study discusses the evaluation of the effect of using different weighting approaches in the process of landslide susceptibility assessment. Weighting process is needed, especially for landslide susceptibility assessment using bivariate statistical analysis, and can radically affect the resulting susceptibility map. The bivariate analysis belongs to a set of quantitative methods. The initial point for the bivariate analysis is selection and processing of input factors in the form of parametric maps, factors that play a dominant role in slope stability. The parametric maps were subsequently evaluated related to landslide inventory map. Another essential part of the bivariate analysis is the determination of the weight of the given input factors. Herein, four methods were applied to determine the weights of each class within reclassified input factors, as well as the total weight of the individual input factors. As a study area, the district of Kysucke Nove Mesto in Slovakia was chosen. Four prognostic maps were the result using entropy index, AHP method (AHP—analytic hierarchy process) (the input factors weighted as a whole), frequency ratio and landslide index (the weights were calculated for each class of input factor). Final landslide susceptibility maps were verified trough ROC curves (ROC—receiver operating characteristics). The accuracy of maps was ascertained by the size area (AUC—area under curve) under ROC curve. The highest accuracy was obtained for maps using weights calculated from the landslide index (88.5%) and the frequency ratio (88.4%).