AHP Model Research Articles

Assessment of gully erosion on the territory of Tomsk using GIS technologies

Relevance and purpose of the work. Currently, the area of development of Tomsk is increasing. New neighborhoods are growing on previously undeveloped land (for example, on the left bank of the river Tom). The central part of the city is being redeveloped and reconstructed. It is impossible to develop a high-quality territory without taking into account the dynamics, mechanisms, factors and patterns of development of dangerous natural and technological processes, the forecast of their development. The purpose of the work is to establish the patterns of gully erosion, assess the intensity of its development, and predict the probability of its occurrence within the new city boundaries. Methods of research. We performed an assessment and forecast of the development of gully erosion in Tomsk using GIS technologies, which are an important tool in the city management process due to their ability to process and analyze multidimensional data about the geological environment. We compared the traditional model of data-driven frequency ratio (FR) and expert-based multi-criteria assessment, i.e. analytical hierarchical process by weighting of gulley conditioning factors. Results of the work. We constructed a map of the distribution of gullies on the territory of the city, including 23 polygons. These polygons were then randomly divided into training (16 polygons or 70%) and validation data (7 polygons or 30%). We used seven gulley-conditioning factors for the two models to produce gulley susceptibility maps: slope angle, slope aspect, curvature, elevation, geological structure of the territory; types of filtration sections; distance to the river, to analyze the spatial patterns that determine the development of gully erosion. The spatial correlation between gulley locations and the conditioning factors were identified using GIS-based statistical models. We constructed gulley susceptibility maps based on the ranking of each factor by two methods using a training data set. Receiver operating characteristics (ROC) were used to validate the resulting susceptibility maps. The area under the curve (AUC) was 0.905 for the AHP model and 0,800 for the FR model, respectively, which indicates excellent and high quality of forecast maps. We proved that both methods are beneficial for assessment the susceptibility of the territory to gully erosion. We recommend using the constructed maps for regional planning and hazard mitigation, as well as in education by teaching the discipline “Engineering geodynamics”.

Sustainable tourism development strategy in Bintan Regency based on Tourism Area Life Cycle

Bintan Regency is regarded as a significant potential tourist destination. The tourism sector has already been developing quite rapidly there in recent years. This study examines its stages of tourism development based on Butler’s tourism area life cycle model. Identification of the stages was made by looking at the characteristics of various criteria: destination characteristics, marketing response, economic impacts, social impacts, and environmental impacts. The stage identification result shows that this district is in a “development” phase. Using this result, we generate a strategy for pushing Bintan Regency to the next stage in the TALC model. The AHP model was developed as a decision support system to determine a priority strategy based on experts’ assessment of tourism development in the Bintan district. From the analysis, we found that economic and social criteria have a more significant impact on the regency’s development. Meanwhile, security and safety improvements and quality of service improvements must become higher strategic priorities. They were also regarded as being the most important strategies to develop the tourist areas of the Bintan Regency during the “consolidation” stage.

Hospital Location Selection: A Systematic Literature Review on Methodologies and Applications

The increased focus of people on the quality of health care in recent years has led hospital owners to develop strategies and policies to improve medical services through the establishment of new hospitals. For hospitals to be competitive, the hospitalʼs location and proximity to potential patients are considered crucial factors in establishing new hospitals. In this context, evaluating and selecting the most suitable hospital location to establish a new hospital from the multicriteria decision-making (MCDM) perspective is a priority for the entrepreneurs or government to gain a competitive advantage. Therefore, this study aims to present a systematic literature review of the hospital location selection problem considering the applied methods and application areas. The preferred reporting items for systematic review and meta-analysis statement (PRISMA) are used as a reference framework. Initially, known electronic databases (Web of science, IEEEXplore, Scopus, Science direct, and Google Scholar) were searched up to the early 2021. A number of 47 articles are selected and analyzed under this systematic framework based on inclusion-exclusion points. State-of-the-art developments in adopting MCDM methods and their fuzzy extensions are summarized. All the articles have been examined in a systematic taxonomy to find answers to six research questions (trend, country of origin, outlet journal, MCDM methods used, MCDM environment and criteria type, and decision criteria used). Results show that (1) AHP and GIS-based MCDM models are the most contributing approaches to the solution of this problem, (2) location selection criteria are mostly cost, demand, environment, population, government, competition in the market, and distance to some important places, (3) the fuzzy structure is also preferred in addition to the MCDM structure depending on the crisp data type, and (4) the location selection criteria are mostly considered subjective. We pay attention to promising directions that can dominate future research in this field from a methodological or applicability perspective. This study shows the current views and opportunities for researchers and practitioners and acts as a guide to encourage more creative studies in this field.

Supply chain strategies as drivers of financial performance in liquefied natural gas networks

PurposeThe purpose of this study is to identify and evaluate supply chain strategies (SCSs) that drive financial performance to guide practitioners, especially in liquefied natural gas (LNG) networks, to review and adopt SCSs that drive competitiveness and value creation for investors.Design/methodology/approachAnalytical hierarchy process (AHP) was deployed to prioritise SCSs according to their relative impact on financial performance in LNG networks. Interviews with experts were analysed using template analysis to establish latent drivers of financial performance specific to LNG networks.FindingsResults support the significant role of SCSs in improving financial performance. Although findings prioritised collaborative strategy as the most important driver of financial performance in LNG networks, to fully optimise financial outcomes, all the SCSs should be implemented across LNG networks as no single strategy in isolation is a standalone driver of financial performance.Practical implicationsThe AHP model provides a novel ranking for SCSs and measures to guide decision-makers. LNG practitioners may exploit the results to make informed decisions.Originality/valueThe study extends previous literature by proposing a framework and a new LNG empirical model that facilitates understanding of how SCSs contribute positively to financial performance and support practitioners in making strategic supply chain decisions.

The impact of the COVID-19 pandemic on the safety management in Italian Seveso industries

The paper discusses the impact of the COVID-19 pandemic on the Italian chemical and process industries, where Directive 2012/18/EU Seveso III, for the control of Major Accident Hazard (MAH), is enforced. The Safety Management System (SMS) for the control of MAH, which has been mandatory for 20 years in Italian Seveso Establishments, has been highly stressed by the external pressure, related in some way to the COVID-19 pandemic. Fairly, most companies, in particular in oil and gas sectors, have demonstrated an adequate capability to reconcile operation continuity and health requirements. This experience is providing the establishment operators and the regulators with valuable suggestions for the improvements of the SMS-MAH. Within this framework, an innovative organisational resilience model is proposed, aiming at the development of a higher capability to face future new crisis. The current SMS-MAH already includes some basic pillars to enhance resilience, which were valuable during the pandemic crisis, but a full and rationale development is still needed. Starting from the first pandemic phase experience, this paper presents a novel tool to assess the degree of “resilience” of a SMS-MAH. It is based on a questionnaire, featuring 25 questions grouped into eight items, according to the typical SMS-MAH structure. A two level AHP model has been developed in order to define the weights to be assigned to each point. The AHP panel included industrial practitioners, regulators, authorities and researchers. The results are based on the COVID-19 experience and consequently the developed model is tailored to face health emergencies, but the approach may be easily transferred to other external crises.

Evaluation of environmental recovery and vulnerability in the Mohe area by using mathematical modeling and remote sensing techniques

In the Greater Khingan Range, wildfires in forests were frequent and severe. The wildfire in the Greater Khingan Range in 1987 was one of the severest wildfires in human history, and the study is primarily based on this natural disaster. Mohe is a representative region in the Greater Khingan Range field related to wildfire cases. Many indicators affect the relationship between wildfire and forests, such as topography, climate change, and human behaviors. This paper used remote sensing techniques, the AHP model, and the entropy model to study the environmental fragility of forests in the region of Mohe. Present paper used NDVI images from 1987, 1992, 1997, 2002 to detect the vegetation coverage change in this area and found out its potential problems that need to be paid attention to. NDVI images in the paper showed that the vegetation coverage in the region of Mohe was generally low. Therefore, the results indicated that it is necessary to make prevention and conservation in the region of Mohe. By collecting dem images and data from fire yearbooks within these years, the paper summarized seven indicators: vegetation coverage, number of fires, area of damaged forest, number of injured people, slope, altitude, and temperature. Then the paper used the AHP model to calculate the ratio of each indicator affecting wildfire and scored on indicators to observe the quality of the environment under different indicators. AHP tables in the paper showed that the influence of slope and altitude were weak on a wildfire in this region because their scores were constant. Forest quality in 1987 was relatively low, and the trend dramatically increased after this year; however, it decreased again from 1997 to 2002. Besides the AHP model, the paper also provided an entropy model by using the same parameters. Compared to the AHP model, the entropy model was more objective. Although its scores were all higher than the AHP model, the trends of the two models were similar.

Research on ADN “source-grid-load” coordinated operation index system

With the large-scale access of distributed generation (DG), problems such as harmonic pollution and increased access point voltage have been brought to the operation of the distribution network. The active distribution network (ADN) integrates a wealth of controllable resources to promote network optimization and green energy consumption. At present, the research on the “source-network-load” coordinated operation index system focuses on a certain direction, and does not consider the multi-dimensional influencing factors. Based on this, this paper starts the research, from the perspective of safety, economy, environment and coordination. In four aspects, the PCA algorithm is used to determine the evaluation index, and the AHP model is used to establish the evaluation system, and the calculation method of each index is explained and calculated to deepen the understanding of the evaluation system established in this article.

Managing employee turnover: findings from the AHP model

The confluence of economic liberalisation, globalisation, and rapid technological change during recent past has driven the industries to capitalise on possession of unique and inimitable resources so as to gain the competitive edge in the fiercely competitive landscape. Needless to say, it is the human resource which is responsible for effective utilisation of all the physical resources. The study is an attempt to compare and evaluate the relative significance of myriad HR issues leading to a better management of the employee turnover problem. To attain the objective analytical hierarchy process was used. The factors in the decreasing order of their importance were: compensation and reward mechanism, nature of work, career growth, camaraderie and communication. The study opens up new outlooks for research related to employee retention in retail and another related sector.

Multifactor Mathematical Modeling Analysis on Re-optimizing Global Food Systems

Food relates directly to human livelihood. It is also one of the most important things that we care about. In this paper, our model is consisted of several small models, such as the AHP model, the TOPSIS model and the EWM model. It is aimed to analyze the relationship between food production, food supply chain and the food system, with advantages in flexibility, ductility and adaptability. Applying our model to practical data, simulating the currency of nowaday world, learning and improving through documents and literature, the model now has the ability to analyze different factors and estimate the food system. Through combining research in different fields, a re-optimization for the global food system is carried out to solve the issue.

TOPSIS & EXPROM2 multicriteria decision methods for Al2O3/Al 6061 nanocomposite selection

In this research novel approach to the selection of the best suitable composition of nanocomposite from the various alternatives of nano-Al2O3/Al6061 using multi-criteria decision-making, techniques are presented. Low strength and hardness limit the use of Al6061 in moderate to high-stress applications such as in aerospace and automobiles. To overcome this deficiency, multi-characteristics Al2O3 nanoparticles are successfully reinforced in various wt. % to Al6061 matrix to fabricate novel Al2O3/Al6061 nanocomposites on aluminum stir casting furnace. That results in an improvement in mechanical properties at a different order of importance and various material cost. Hence it is essential to determine the best suitable alternative of nanocomposite and corresponding optimum quantity satisfying application requirements. Therefore, to tackle the difficulty of best suitable composition selection at required order of importance, multicriteria decision-making techniques such as TOPSIS and EXPROM2, was implemented and rankings are obtained. Weight criteria are determined using the AHP model. Comparative study of all MCDM is carried out by spearmen’s rank correlation. The best material found is 4A (4% Al2O3 reinforcement). MCDM analysis was found satisfactory for material selection problems.

Water vulnerability of coastal aquifers using AHP and parametric models: methodological overview and a case study assessment

The concept of groundwater vulnerability is a useful tool for environmental planning and decision-making. Added to overexploitation, the increasing agricultural activities have affected water resources. The groundwater contamination is becoming an important issue, especially in coastal areas also threatened by seawater intrusion. Indeed, several methods have been developed for assessing aquifer vulnerability. This study aims to develop a comparison between the application of the DRASTIC and GALDIT standard parametric models and the AHP-DRASTIC and AHP-GALDIT combined models in order to evaluate the groundwater vulnerability in the Mahdia-Ksour Essef coastal aquifer. For a better highlighting the spatial visualization of the obtained results, we used the GIS technics. The results showed that the coastal zone is the most susceptible to the seawater intrusion. The correlation coefficients showed that the relationship between the DRASTIC and AHP-DRASTIC vulnerability indexes and the nitrate concentration was increased from 28 to 57%, respectively. Furthermore, the correlation coefficients showed that the relationship between the GALDIT and AHP-GALDIT vulnerability indexes and the electrical conductivity was increased from 41 to 69%, respectively. This requires the use of the AHP-GALDIT combined method which is considered more effective and provides good results. Obtained results could be considered as a guide for the groundwater management.

Analysis on the health level and sustainability of Higher Education——Evaluation based on AHP and DEA model

This paper presents a model system to measure the health status and sustainability of higher education in different countries. We set up two primary models to measure the health status and sustainability of national higher education. According to the data processed by the model, we put forward targeted policy suggestions and implementation plan suggestions for the current health level sustainability of higher education in China, a developing country. This model has the ability to process and measure the health status and sustainability of higher education in different countries according to the representative index data of higher education available in different countries, and put forward the target state and other issues.

Ecological garden plant configuration method based on attribute analytic hierarchy process model

In order to solve the problems of poor accuracy and long time-consuming in traditional ecological garden plant configuration methods, a method of ecological garden plant configuration based on attribute AHP model was proposed. This paper analyses the principles of ecological garden plant configuration, designs the ecological garden configuration method; selects the index factors affecting the plant configuration, constructs hierarchical structure, obtains the relative attribute measurement and measurement weight of ecological garden landscape, and analyses the plant attribute of ecological garden; builds the directed graph, clarifies the weight relationship between plant configuration, constructs the attribute hierarchy analysis model, and adopts triangular fuzzy evaluation The price algorithm evaluates the results of plant configuration and completes the ecological garden plant configuration. The experimental results show that the accuracy of the proposed method is up to 98%, and the survival rate of plants after configuration is higher than 90%.

Retracted] AHP‐Based Analysis Factors Influencing the Construction of a Smart City with Three‐Dimensional Regional Color

Urban color is becoming more and more important in the construction of smart cities. This research mainly discusses the influencing factors of AHP‐based 3D regional color smart city construction. From the perspective of city managers, the factors selected in the article that affect the choice of urban color planning are economic development, urban culture, designer’s ideas, customs, and natural environment. We use GIS to comprehensively collect basic geographic information data of the city. We use CityEngine and GIS data to quickly create virtual cities. When constructing the AHP model, once the weight value of each factor in the color‐influencing factors of the entire smart city is obtained, the total ranking of the levels needs to be checked once. After that, the study uses the MATLAB program platform to realize the parametric design of the main color of the city, including the control of the changes in the spatial structure of the main color of the city, followed by the control of the transition and coordination mode between the key elements of the city color. Explorer provides comprehensive and rich 3D digital city roaming browsing, query positioning, analysis, and other functions; supports the loading of multiple data sets from the Internet and local; and can dynamically load massive 3D city simulation models above and below ground. Finally, the design of the urban architectural color or improvement plan is further carried out, and the urban color main color design plan is finally implemented in the implementation of the urban architectural color, which effectively realizes the quantitative control of the urban color. When evaluating smart city color resources, the color weight value of public facilities is 0.147, which accounts for 14.7% of the total weight value. This research helps to enhance the regional and local cultural characteristics.

Managing Employees’ Turnover: Findings from AHP Model

Managing Employees’ Turnover: Findings from AHP Model

Analysis on the library service quality with analytic hierarchy process model

Library service is a significant factor for a university to give the public a glimpse on the university education quality. An excellent library can provide a comfortable study environment for the students to concentrate on their learning. Besides that, library should also be a source that the students can easily search for the plenty of updated information that they need. As a result, a conceptual framework based on Analytic Hierarchy Process model is proposed to identify the priority of the main decision criteria and sub-criteria toward the library service quality among the undergraduate students. The results show that information control is the most influential decision criterion, followed by library as place and affect of service. Moreover, the top five most influential sub-criteria are desk and seating availability, Internet/WIFI facilities, cleanliness and beauty, temperature setting, and finally online journal collection. The findings of this study can provide an insight to the library to improve the services in order to satisfy the students’ expectations and needs in the future. This study is significant because AHP model is proposed to determine the quality of the library service with the consideration of the important decision criteria.

Risk assessment and prediction of forest health for effective geo-environmental planning and monitoring of mining affected forest area in hilltop region

This paper focuses on forest health risk (FHR) assessment and prediction in the mining-affected forest region using AHP model based on multi-criteria analysis in a GIS platform. We considered a total twenty-eight (twenty two present and six predicted) causative parameters including climate, natural or geomorphological, forestry, topographical, environmental, and anthropogenic. The assessment results of FHR show that of the total existing forest area, 2.85% area under very high, 13.63% high, 31.98% moderate, 32.68% low, and 18.87% are under very low categories. According to the assessment and prediction FHR results, the very high-risk classes were found at mines surrounding forest compartments. The sensitivity analysis showed that some factors were more sensitive to FHR. The correlation results showed a negative relationship between FHR and distance from mines and foliar dust concentration. This work will provide a basic guideline for effective planning and management in forestry studies for the mining-affected region.

Introduction and comparative analysis of the multi-level parsimonious AHP methodology in a public transport development decision problem

The methodology of Parsimonious Analytic Hierarchy Process (PAHP) has been originally constructed to unburden the evaluators of an AHP survey from the numerous pairwise comparisons caused by the several alternatives in decision problems. So far, there are very few applications of PAHP and all of them referred to the last level of the decision structure; to the alternatives. This paper aims to demonstrate a multi-level PAHP based model, so how to apply the method on an arbitrary level of the decision structure. Since being a new method, another objective is to conduct a comparative analysis on the correlation of the results between AHP and multi-level PAHP models. Moreover, the new multi-level approach makes it possible to demonstrate an immanent analysis originated from AHP logic to test PAHP results, which is unique in the scientific literature for Parsimonious technique. The created model has been tested in the real-world decision problem of a Turkish big city, Mersin. Based on the test and analysis, the method can be a suitable tool in case of layman evaluations even in case of small number of criteria or alternatives. In the paper, a general application process is also proposed for other future appliers of the method.

Research on mobile intelligent mine platform based on risk control

It is a challenge to effectively solve the “bottleneck problem” of the information management and safety evaluation of coal mine. In case of unexpected events, it is hard for miners to rapidly know the status of environment and find solutions. On the basis of the concept of mobile work, we design a mobile intelligent mining platform aiming for an early warning. That platform is a comprehensive application of the Internet of Things, mobile Internet, intelligent control theory and other technologies. It is mainly composed of four parts: underground sensor, underground subsystem, mobile intelligent mine platform and mobile terminal. An early warning combination model is proposed and described to address this issue. The fuzzy AHP is combined with neural network because of fault-tolerant ability, parallel processing ability, processing non-linear problem ability. The paper adopts the neural network model and the fuzzy AHP model to construct a coal mine safety early warning model. With modern wireless 4G network and geographic information technology, mobile terminal allows staff to know not only the specific risk level but also the status of the scene nearby. The intelligent terminal user interface provides real-time queries and handles processes coal mine production, safety and management. It achieves comprehensive monitoring and integration management both on the automation system and security system.

PRIORITIZING THE WEIGHTS OF THE EVALUATION CRITERIA UNDER FUZZINESS: THE FUZZY FULL CONSISTENCY METHOD – FUCOM-F

Values, opinions, perceptions, and experiences are the forces that drive almost each and every kind of decision-making. Evaluation criteria are considered as sources of information used to compare alternatives and, as a result, make selection easier. Seeing their direct effect on the solution, weighting methods that most accurately determine criteria weights are needed. Unfortunately, the crisp values are insufficient to model real life problems due to the lack of complete information and the vagueness arising from linguistic assessments of decision-makers. Therefore, this paper proposes a novel subjective weighting method called the Fuzzy Full Consistency Method (FUCOM-F) for determining weights as accurately as possible under fuzziness. The most prominent feature of the proposed method is obtaining the most accurate weight values with very few pairwise comparisons. Consequently, thanks to this model, consistency and reliability of the results increase while the processing time and effort decrease. Moreover, an illustrative example related to the green supplier evaluation problem is performed. Finally, the robustness and effectiveness of the proposed fuzzy model is demonstrated by comparing it with fuzzy best-worst method (F-BWM) and fuzzy AHP (F-AHP) models.