Analytic Hierarchy Process Theory Research Articles

Risk Assessment of Power Monitoring System Based on Fuzzy Analytical Hierarchy Process

The security threat of power monitoring system is increasing, it is valuable to carry out effective risk assessment, which helps to find the security threats of the system in time, then carry out security management and avoid disasters. This paper presents a risk assessment method of power monitoring system based on Fuzzy Analytic Hierarchy Process (FAHP) and CVSS. Firstly, Considering the structure and security requirements of power monitoring system, the analytic hierarchy process (AHP) model is established, and CVSS is used to quantify the evaluation indicators. Then, the fuzzy consistent judgment matrix is constructed by using the results of index quantification by using AHP and fuzzy comprehensive evaluation theory, and the power monitoring system is comprehensively evaluated from the bottom to the top. Finally, the risk evaluation value and safety level of the system are obtained. The example shows that the method can effectively overcome the difficulty of AHP in checking the consistency of judgment matrix, and can effectively quantify the system risk, and provide reference and basis for risk management decision-making of power monitoring system.

Method of selecting automatic control system of a motor grader

Problem. Effective use of motor graders is impossible without the use of automatic control systems, especially in modern conditions of large volumes of road construction. However, among the large number of samples of such systems, which differ in various parameters, it is impossible to make an appropriate choice without a scientifically sound approach, taking into account the set of their characteristics. It was found that these systems are characterized by a large set of parameters, with the values of some of them unknown, and the reliability of the values of many parameters is questionable, i.e. the choice must take place in conditions of fuzzy information. The methods of choosing alternatives in conditions of uncertainty described in the literature, in particular when choosing technical systems based on Analytic Hierarchy Process and fuzzy set theory, are analyzed and the latter is taken to develop a method of choosing a motor grader ACS. The goal of the work is to increase the efficiency of motor graders in road construction due to the appropriate choice of ACS. The methodology of constructing the method is the theory of fuzzy sets. The economic, technical-operational and ergonomic groups of criteria for choosing a motor grader ACS are determined and substantiated. The construction of the method was performed to select the ACS in the 3D class. As the alternatives, the systems which are the leaders of this segment were chosen. The above criteria are a set of criteria. The solution to the problem of choice is an alternative that best meets the requirements of the whole set of criteria. The results of the work are the development of a method of fuzzy multicriterion analysis for the selection of a motor grader ACS in the class of 3D systems. Originality lies in constructing the method of choosing a motor grader ACS in conditions of fuzzy information on the basis of reasonable criteria. The practical value is the fact that the use of the developed method will allow to make a scientifically sound choice of the ACS of a motor grader taking into account the whole set of criteria.

Combination weighting-based method for access point optimization of offshore wind farm

With the fast development of offshore wind power, the fluctuation of its output has an increasingly significant impact on the secure and stable operation of power system. Aiming at the large-scale offshore wind farms (OWFs) integrated, a method for selecting optimal access point is proposed. The capability of wind power accommodation, voltage stability, transmission network vulnerability and construction cost are considered as evaluation indexes. Based on the theory of information entropy and fuzzy analytic hierarchy process, taking the minimum deviation of the comprehensive weight and maximum of the compressive weight value as the optimization goal, the combination weighting model is established to determine the index weight. Simulation result of Shandong Power grid of China demonstrate the effectiveness of the proposed method for selecting the access point of the OWF.

Research on Intelligent Evaluation Model of Railway Internationalized Earthquake Emergency Rescue Talents Based on Analytic Hierarchy Process and Fuzzy Theory

Earthquakes occur frequently in the 21st century and cause a large number of casualties; induced secondary geological disasters will cause more serious casualties. How to reasonably deal with the earthquake disaster to carry out emergency rescue work is becoming increasingly urgent; the ability level of earthquake disaster emergency rescue personnel is directly related to the follow-up relief effect. Based on this, aiming at the emergency rescue ability of nationalized railway management talents in high-intensity earthquake areas around the world, this paper will use the methods of analytic hierarchy process and fuzzy theory to construct an intelligent evaluation model of railway international earthquake emergency rescue personnel ability. In addition, this paper carries out a questionnaire survey of experts in related fields and model empirical research and puts forward optimization measures and suggestions for the personnel training of railway international earthquake emergency rescue in high-intensity seismic areas based on the results of model evaluation.

Comparative Study on Landfill Type Selection of Rural Household Garbage Instead of Incineration by GAHP

In view of the problem of landfill type selection of rural household garbage landfills in China, the factors influencing the selection of rural household garbage landfill types were analyzed. Based on the analytic hierarchy process and group decision theory, a comparative model of landfill types was established for rural household garbage. Besides, the results of the questionnaire were analyzed through Yaahp software. According to the results, environmental friendliness, public satisfaction and operating cost are the main factors influencing the selection of rural household garbage landfill programs, and anaerobic and quasi-aerobic landfill programs are suitable for promotion in rural areas.

Predicting Cost Contingency Using Analytical Hierarchy Process and Multi Attribute Utility Theory

Abstract An endeavor to predict the optimum contingency value that balances between maintaining business competitiveness and achieving project objectives is definitely an essential contributor to the survival of contractors. The chief objective of this research, therefore, is to develop a mathematical prediction model of the optimum cost contingency value for building projects in Saudi Arabia. The analytical hierarchy process (AHP) technique was used to define the most significant risk factors inherent in public work projects. The multi attribute utility theory (MAUT) technique was used to measure contractors’ risk attitudes and to establish the utility functions through MATLAB. The required data to build the model for the AHP and MAUT were collected from 17 contractors mostly through intensive face-to-face interviews and email-response to a developed structured questionnaire. The integrated contingency model reflects the basic dimensions of risk and considers the various risk attitudes of contractors. The model has been implemented in prototype software using object-oriented programming. Two completed local building construction projects were used to validate and demonstrate the use of the developed model in recommending the optimum cost contingency value for building projects in Saudi Arabia. The developed model was proven reliable in estimating the contingency with an accuracy skewed 9% to the high side.

Construction and verification of the emerging engineering talents evaluation model based on fuzzy mathematics theory

In view of the present situation of cultivating innovation and entrepreneurship ability of engineering talents in local colleges and universities, it is necessary to perfect the evaluation mechanism of emerging engineering talents cultivation, and design the evaluation standard system of supporting the conditions of innovation and entrepreneurship education for college students. Based on the evaluation standard, the Fuzzy Analytic Hierarchy Process (FAHP) theory is used to establish the mathematical model and evaluation model of the evaluation system of college students' innovation and entrepreneurship education condition support under the emerging engineering background. The results show that the established model has universality, accuracy and practicability, and provides technical support for the evaluation of emerging engineering talents, so as to form a closed loop of quality engineering, constantly improve the quality of emerging engineering talents cultivation, and provide talent support for national and regional innovation-driven development.

Operating Environment Assessment of the Coalface in Underground Coal Mining Based on Analytic Hierarchy Process (AHP) and Matter-Element Theory (MET)

The environmental evaluation of the coalface in underground mining is of great significance to the safety of production and the health of miners. In order to achieve the objective and accurate evaluation of the operating environment of the coalface, the indexes of temperature, humidity, noise, illuminance, dust, harmful gas, and wind speed are selected to construct the environment evaluation index system, and the operating environment evaluation model of the coalface based on analytic hierarchy process (AHP) and matter-element theory (MET) is established. Firstly, the operation environment classification criterion is established; the environment objects, joint domain, and classical domain mater-element are built; and the correlation function is calculated. Secondly, the comprehensive correlation matrix is calculated and the environmental grade is judged. Finally, from the broad point of view, three measures are proposed to improve the operation environment of the coalface: development of the environmental evaluation index monitoring system, improvement on miners’ safety awareness, and formulation of regulations and policies for coal mine operation environment. The research results can provide guidelines for miners, coal mining enterprises, and occupational environmental safety departments.

Comprehensive and Quantitative Evaluation of Subsea Tunnel Route Selection: A Case Study on Bohai Strait

The Bohai Sea is the immense inland sea in China and the Bohai Strait is a sea graben from East China to Northeast China which lies between the Jiaodong Peninsula and the Liaodong Peninsula. Considering the forthcoming Bohai Strait subsea tunnel, the authors selected nine indicators including seabed topography, stratigraphic lithology, geological structure, earthquake, environmental impact, engineering scale, ventilation conditions, residents’ satisfaction, and landing position. These indicators are considered as evaluation indexes to evaluate three alternative routes of the Bohai Strait subsea tunnel: line A, line B, and line C. In this paper, the evaluation model of the Bohai Strait subsea tunnel based on analytic hierarchy process (AHP) and extension theory is established. In this regard, the grade of route selection is divided into four categories: excellent, good, average, and bad. Finally, through the model calculations, it is concluded that line B of the Bohai Strait subsea tunnel is the best, and line A is the worst. This method provides a new idea for the evaluation of subsea tunnel site selection and also represents some references for other types of engineering site selection.

Stability Assessment of Deep Three-Soft Outburst Coal Seam Roof Based on Fuzzy Analytic Hierarchy Process

The stability of deep “three-soft” coal seam roof has always been a key issue in coal mining. There are a lot of factors affecting the stability of deep three-soft coal seam outburst roof. However, there is currently no definite method able to draw an accurate assessment conclusion on roof stability. In order to accurately determine the main influencing factors of the stability of deep three-soft coal seam outburst roof and reduce the loss of coal production, this paper performed three-soft coal seam risk identification on Lugou Mine based on the introduction of the fuzzy analytic hierarchy process theory. 23 main risk factors were identified. Then, it established a hierarchical structure model of coal seam roof stability in accordance with experts’ opinions. The analytic hierarchy process was used to calculate the weights of indicators at all levels. Next, the paper used the fuzzy comprehensive evaluation method and expert scoring to evaluate various risk factors in the indicator system, as well as the overall safety level. The results showed that the deep three-soft coal seam stability of Lugou Mine ranks the third hazard level. The main risk and harmful factors include safety awareness, safety monitoring system, roof weakness, ventilation system, fire-fighting system, and rock bolt quality. In response to the evaluation results, this paper formulated corresponding control measure in terms of ventilation risk, safety monitoring risks, construction personnel risks, and fire protection risk to reduce losses in the mining process, providing a new evaluation method for the stability assessment of deep outburst coal seam roof.

Optimization Decision Method based on Nonlinear Analytic Hierarchy Process for Active Distribution Network Planning

Aiming at the investment environment of the distribution network, this paper deeply analyses the investment conditions of the distribution network, introduces the analytic hierarchy process and modern investment theory, establishes the analytic hierarchy of the investment conditions in the distribution network project, and proposes an optimization decision-making method of investment plan in distribution network. This paper also establishes two new concepts: condition score and correlation score, uses the improving analytic hierarchy process to calculate the weights, proposes a priority ranking method for distribution network projects, and gives detailed process. to formulate distribution network investment plans. The application of the proposed method to optimize the distribution network planning scheme shows that the optimization investment scheme given has better investment benefits under the condition of the power supply reliability requirements of the distribution network and investment capital constraints.

Multi-criteria decision-making framework for selecting sustainable private partners for housing projects

PurposeThis paper aims to develop a framework for the selection of private partners in the housing industry of Saudi Arabia under the scheme of the partnership between the public and private sectors.Design/methodology/approachBy investigating criteria from a comprehensive literature review and experts input through surveys, developing further surveys incorporating decision-making methods: analytic hierarchy process (AHP) and multi-attribute utility theory (MAUT) to construct a framework for selection based on weightages and utilities.FindingsThe results identified criteria categorized under four categories: financial (C1), technical (C2), managerial (C3) and safety/environment (C4) and their sub-criteria. The study found that the main criteria were relatively close to each other in importance based on the subjective input of the experts with the technical and safety/environment criteria tying equally with 27% followed by the managerial with 24% and trailed by the financial with 22%.Research limitations/implicationsThe study and surveys were conducted for the Saudi market and the experts were within the country.Originality/valueThe study contributes to the Saudi housing initiative which is a part of the 2030 Vision and provides insight to international investors who would be willing to invest in the Saudi market; and to the literature as there is a notable lack of study on public-private partnership in housing in Saudi Arabia.

Delineation of groundwater potential zones using modified weight standardization method and GIS in arid environments: case study of Ejina Oasis, Inner Mongolia, China

Groundwater refers to a vital resource for sustainable development of the earth. As fueled by the economic development, population growth, and the expansion of irrigation area, groundwater has been increasingly demanded. It is noteworthy that groundwater seriously limits the sustainable development in the arid desert areas of Africa and Asia. To tackle down this issue, modified weight standardization (MWS) and improved fuzzy analytic hierarchy process (IFAHP) theories and geographic information system (GIS) were adopted to find the groundwater potential zones (GWPZ) in the Ejina Oasis of northwestern China. A range of thematic layers (i.e., lithology, lineament density, soil moisture, normalized difference vegetation index, rainfall, biomass, drainage density, slope, elevation, and land use/land cover) were built with the existing maps and the remote sensing data. The mentioned thematic layers were standardized using MWS. Subsequently, the IFAHP was adopted to assign weight to the thematic layers. Lastly, all the layers were integrated in GIS to map the GWPZ. The MWS-IFAHP–based groundwater potential map revealed four categories: “excellent” (13.91%), “good” (21.97%), “moderate” (34.79%), and “poor” (29.33%). As indicated from the validation of the results, GIS-based MWS and IFAHP technologies can be used to effectively generate groundwater potential map under an accuracy of 80%. The results of this study are critical to plan and develop scarce groundwater resources in arid areas efficiently at a low cost, which can ensure sustainable water supply in the future.

AN APPROACH FOR TRAFFIC COLLISION AVOIDANCE: MEASURING THE SIMILAR EVIDENCE ON THE CAUSAL FACTORS OF COLLISIONS

The lessons learned from each Traffic Collision (TC) will help safety practitioners to avoid similar occurrences in the future. However, few studies and methods have focused specifically on the similar features among different collisions. Thus, the development of a measurement method for investigating the best evidence on the causal factors of TCs was warranted. In this study, a similarity analysis method based on the Analytic Hierarchy Process (AHP) and Similarity (S) theory, the AHP-S method, was constructed. This method was designed to identify the similar elements and similar units of collision scenes according to the analysis criteria and sub-criteria and further to calculate the degree of similarity between recognized similar pairs among TCs. Six TC cases were randomly selected as examples, and the degrees of similarity between cases 1 to 5 and case 6 were calculated separately. The calculation results showed that out of the five collision cases (cases 1–5), case 1 provided the best evidence for analysing the causal factors of case 6. This study promotes the development of quantitative analysis methods for collision incidents and provides an effective evidence-based method for TC avoidance.

Research on Safety Evaluation Technology of Portal Cranes Based On Analytic Hierarchy Process (AHP) Theory

This paper introduces the present situation of portal crane and the shortcomings of the current standard system, and puts forward a feasible safety evaluation method. Based on the theory of Analytic Hierarchy Process ((AHP)), the safety assessment method of portal crane is studied, and a more perfect method is put forward. The evaluation value D of equipment safety performance obtained by this method can specifically and clearly express the actual status and risk level of equipment.

Predictions of groundwater vulnerability and sustainability by an integrated index-overlay method and physical-based numerical model

This study presents a new concept that integrates the index-overlay method and a physical-based numerical model for predicting groundwater sustainability under various climate conditions and anthropogenic activities. The index-overlay DRASTIC method was modified with an analytical hierarchy process theory and employed to create groundwater vulnerability maps for the Pingtung plain groundwater basin in southern Taiwan. The physical-based MODFLOW model was used for predicting the dynamics of a basin-scale groundwater system. Solutions and calibrated hydrogeological parameters in the MODFLOW model provide feedback to the factors in the modified DRASTIC method which enables predicting groundwater vulnerability. In this study, different climate conditions were considered in the numerical model to obtain the changes in depth of water and net recharge for predicting future groundwater vulnerability and for evaluating the current state of the sustainability indicators. Results show that the depth of water and net recharge obtained from the groundwater model improve the accuracy of the groundwater vulnerability prediction. The variations of future climate conditions have less influence on the variations of groundwater vulnerability because of the dense river network that controls the shallow groundwater levels in the Pingtung plain groundwater basin. Therefore, the influence of climate conditions on the risk of groundwater contamination is also relatively low. Based on the analysis of the sustainability indicators, we found that the groundwater resource system in the Pingtung plain groundwater basin is in a critical condition of high vulnerability.

Integrating fuzzy case-based reasoning, parametric and feature-based cost estimation methods for machining process

PurposeThis paper aims to propose an intelligent system that serves as a cost estimator when new part orders are received from customers.Design/methodology/approachThe methodologies applied in this study were case-based reasoning (CBR), analytic hierarchy process, rule-based reasoning and fuzzy set theory for case retrieval. The retrieved cases were revised using parametric and feature-based cost estimation techniques. Cases were represented using an object-oriented (OO) approach to characterize them in n-dimensional Euclidean vector space.FindingsThe proposed cost estimator retrieves historical cases that have the most similar cost estimates to the current new orders. Further, it revises the retrieved cost estimates based on attribute differences between new and retrieved cases using parametric and feature-based cost estimation techniques.Research limitations/implicationsThe proposed system was illustrated using a numerical example by considering different lathe machine operations in a computer-based laboratory environment; however, its applicability was not validated in industrial situations.Originality/valueDifferent intelligent methods were proposed in the past; however, the combination of fuzzy CBR, parametric and feature-oriented methods was not addressed in product cost estimation problems.

Model to assess the selection of the optimal location for a restaurant, a quantitative approach. Case study: Theme restaurants in Cancun, Mexico

ABSTRACT One of the most critical factors for a restaurant’s success is the need to select an optimal location. A model to assess the restaurant’s current location and select a future location was designed to address this problem as one of the top priorities. As a case study, the theme restaurants at Cancun, México were used. The obtained tool resulted from combining the theory for designing an Analytic rubric with the Analytic Hierarchy Process theory; this last one allowed to rank the factors and subfactors used to assess the location. This paper presents the quantitative research approach that includes the weight and ranking of the factors and subfactors obtained through the Analytic Hierarchy Process method and statistical validation of the empirical study results through regression analysis.

Client-driven performance-evaluation framework for municipal infrastructure

Condition assessment of aging infrastructure is a growing concern all over the world. A systematic performance assessment is a pre-requisite for effective asset and infrastructure management. Accordingly, this article develops an integrated approach for the performance assessment of the municipal infrastructure. The main objectives are to develop an approach to assess, measure, and combine the performance levels of water, sewer, and road infrastructure and then integrate those values into a performance index. The methodology involves developing assessment criteria from literature and using interviews with professionals. A series of workshops was conducted with professionals in Canada. Throughout the workshops, questionnaires were collected based on the analytic hierarchy process (AHP) technique. Using AHP and fuzzy set theory, data was aggregated, and the results were developed. The analysis proved that the road roughness rating has the highest impact on the performance level followed by the number of breaks that occurred within the water network. Furthermore, the developed integration model was validated by professional engineers working in the field and has shown potential in terms of providing a reliable assessment of the overall state of the infrastructure.

Hybrid MCDM Model for Location of Logistics Hub: A Case in China Under the Belt and Road Initiative

The location of logistics nodes that facilitate the China Railway Express (CRexpress) and rail-sea intermodal transportation has received increasing attention in China under the Belt and Road initiative. This paper selects 38 cities as candidate Chinese international container intermodal hubs (CICIHs) through qualitative screening by considering the current operations of the CRexpress/rail-sea intermodal transportation and government planning strategies. Subsequently, five connectivity indexes are proposed to reflect the node performance considering the multiple modes and stages of transportation in a logistics chain. In view of the shortcomings of the grey relational analysis-technique for order preference by similarity to ideal solution (GRA-TOPSIS) method, a hybrid multi-criteria decision making (MCDM) model is proposed to comprehensively evaluate the hub location. The model is based on the grey area relational analysis-technique for order preference by similarity to ideal solution (GARA-TOPSIS) in combination with analytic hierarchy process, entropy method and game theory. Tianjin, Harbin, Zhengzhou, Wuhan, Chongqing, Xi'an, Urumqi, Guangzhou, Shanghai and Nanning are selected as the final CICIHs, considering the geographical location, economic development and national policy pertaining to the Belt and Road initiative. A sensitivity analysis of the index weight and preference coefficient and a comparative analysis of different MCDM methods are performed. The robustness and stability of the proposed model are verified. This study can support the location selection of CICIHs and expand the methods and applications in the decision-making field.