AHP Weight Research Articles

Evaluation of Urban Public Building Renovation Potential Based on Combination Weight Cloud Model—Case Study in China

Currently, urban renovation activities in China are booming. And promoting the renovation of public buildings is a key feature of urban renovation due to its large scale, high cost, and significant impact to the natural and social environment. To reduce the ambiguity and uncertainty in evaluating the potential for the renovation of existing public buildings, a renovation potential evaluation model integrating a game theory-based combination weighting method and cloud model theory is proposed. This paper constructs a comprehensive evaluation index system based on relevant standards and the literature. Game theory is used to optimize the weights obtained by AHP and entropy weight methods to obtain a combined weight. MATLAB programming is used to calculate the comprehensive cloud parameters of the evaluation index for the potential renovation of existing public buildings and therefore generate cloud Graphs. Through a case study in Nanjing, China, it was demonstrated that the combination weight cloud model can objectively reflect the relationship between the fuzziness and randomness of evaluation indicators for public building renovation potential. The visual expression of cloud Graphs can intuitively reflect the magnitude of renovation and renovation potential and the degree of uncertainty in evaluation results. The research result provides useful references for the sustainable utilization of building resources in the era of building.

Research on landslide hazard assessment based on improved analytic hierarchy process optimizing multiple rainfall indicators

Rainfall is the key factor that leads to landslide, so this study introduces multiple rainfall indexes to optimize the rainfall model in view of the single evaluation index of the rainfall model for landslide hazard assessment. In this study, Xiangxiang City of Hunan Province was selected as the study area, and eight types of susceptibility assessment factors including slope, aspect, elevation, normalized vegetation index (NDVI), road, fault, lithology and land use were extracted. By analyzing the characteristics of local rainfall, six types of rainfall induced assessment factors were selected for hazard assessment of the study area. The two types of evaluation factors were substituted into the improved AHP and RF combined weighting models respectively to obtain the susceptibility zoning map and rainfall induced model of the study area, and finally superimposed to obtain the hazard zoning map of the study area.Using ROC curve and hazard zoning in the studied area test results, the results show that:The AUC value of the multi-rainfall index is 17.7% higher than that of the single rainfall index, and the AUC value of the improved AHP is 6% higher than that of the traditional AHP method. It is verified by the disaster points on the day of extreme rainfall in the study area, and the actual occurrence of the disaster points is basically consistent with the hazard evaluation and zoning of the multi-rainfall index. Therefore, the rainfall model of landslides is optimized by using multiple rainfall indexes, which significantly improves the rationality of landslide hazard assessment.The study of multiple rainfall induced indicators can fill the knowledge gap in the current field, provide new insights and understanding for the field, and provide assistance for predicting and preventing landslides in related areas.

Optimizing Client Selection for Wildlife Conservation Projects: A Comprehensive Approach Using AHP and Entropy Weighting

Optimizing Client Selection for Wildlife Conservation Projects: A Comprehensive Approach Using AHP and Entropy Weighting

Research on gradual planning scheme of power grid based on AHP and entropy weight method

AbstractThe integration of renewable energy into power grid planning poses significant challenges. In this investigation, planning strategies across eight key indicators encompassing economic, reliability, environmental, and adaptability are assessed. Leveraging the analytical hierarchy process alongside the entropy weight method, subjective and objective weights are ascertained and comprehensive weights with parsimonious discriminative data are synthesized. Scores for planning strategies are then derived utilizing these weights. To illustrate and validate the efficacy of the proposed methodology, it was applied to four schemes within the IEEE‐6 node system, incorporating wind and photovoltaic power plants.

Research on the Consistency Evaluation of the Spindle Unit Stiffness Based on Comprehensive Weights

The spindle unit is the core component of a machine, and its stiffness is a key performance characteristic. The stiffness consistency is a key index to measure the stiffness of spindle units; however, there is a lack of unified evaluation methods for the spindle unit stiffness consistency. This paper proposes a comprehensive method for the evaluation of the spindle unit stiffness consistency based on fluctuations and comprehensive weights. First, the consistency of the spindle unit stiffness evaluation indices is expressed based on the fluctuations. Secondly, the subjective and objective weights of the spindle unit stiffness evaluation indices are given based on the AHP and CRITIC weight assignment methods. To obtain the comprehensive weights of the evaluation indices, the subjective and objective weights are synthesized based on the linear weighting method. Then, the consistency level of the spindle unit stiffness is obtained by the weighted summation of the comprehensive weights and fluctuations of the evaluation indices. Finally, the stiffness consistency of a group of spindle units is evaluated based on this method, and the evaluation result shows a 10.63% fluctuation, which indicates that its stiffness consistency level is class B, in line with the factory production requirements.

Comprehensive Ecological Environment Quality Assessment Based on AHP and CRITIC Weight Method—Taking Turpan and Hami Cities as Examples

Comprehensive Ecological Environment Quality Assessment Based on AHP and CRITIC Weight Method—Taking Turpan and Hami Cities as Examples

A Quality evaluation model of distance assisted instruction based on AHP and entropy weight method

A Quality evaluation model of distance assisted instruction based on AHP and entropy weight method

A quality evaluation model of distance assisted instruction based on AHP and entropy weight method

A quality evaluation model of distance assisted instruction based on AHP and entropy weight method

Innovation of Student Quality Evaluation Model in Vocational Education under Cloud Computing Environment

Abstract This paper takes cloud computing technology as the core, constructs a student quality evaluation model, collects and analyzes students’ learning data through cloud computing technology, proposes the direction of optimization and reform of the educational quality evaluation system, and establishes a comprehensive quality evaluation management system for students. Combining AHP and entropy weight methods, the subjective and objective weights of each index are calculated, and the comprehensive weights are determined through game theory. Based on the evaluation method of students’ comprehensive quality, the cloud model is established, the normal cloud digital features are calculated, and the mapping of qualitative concepts to quantitative representations is realized through the forward cloud generator, which completes the construction of the evaluation index system of students’ comprehensive quality. The evaluation cloud model is obtained by using the digital features calculation, and the cloud is located between levels 8 and 9 because E x = 8.5265, which has a closer fit with level 8, indicating that the comprehensive quality of the student belongs to the good upper level. In the comparison of the innovation of the student quality evaluation model, the comprehensive theoretical quality of the students in the experimental group is 8.215 points, and the P value is 0, significantly higher than that of the control group students, and the model innovation effect is remarkable.

Hybrid MCDM Career Recommendation System for Information System Student Using AHP, VIKOR and Weighted Euclidean Distance

This research provides a new application that VIKOR can carry out as one of the MCDM methods. Instead of making decisions, this method is used to get an ideal score for a course based on alumni course marks data to reflect the learning conditions that exist at the university. The goal of this study is to provide suggestions for the student's final project topic area and career opportunities they can pursue according to current job market situations. The approaches used in this research are AHP, VIKOR, and weighted Euclidean distance. Subsequently, the TOPSIS method is used as a comparison to VIKOR. The consistent weights from AHP are used to calculate the course ideal mark and the weighted Euclidean distance score. By using AHP weight for VIKOR and TOPSIS calculation, there are differences in the results of the top alums, which their course mark used as the benchmark for the ideal score. AHP-VIKOR method gives higher ideal course mark compared to AHP-TOPSIS in some of the courses. Suggestions to students are given based on calculating the closeness of student marks ​​to ideal marks on each specialization track.

Analysis of 220 ml cup supplier selection with AHP method and rating scale: case study PT. sabina tirta utama

PT. Sabina Tirta Utama is a company that produces Bottled Drinking Water (AMDK) in 220 ml cup packaging. The company has problems related to 220 ml cup suppliers such as found in cup packaging with holes when the goods arrive, the quantity does not match the demand so the company needs suppliers who match the company's criteria and produce good quality packaging through supplier selection and assisted with the selection method. decision. The method used in supplier selection is AHP and rating scale. The AHP method is used to obtain global weight values which are then used to assist in ranking with the rating scale method. The purpose of this study was to determine the criteria and sub-criteria for a 220 ml cup and to identify priority suppliers. Supplier selection using 5 criteria and 11 sub-criteria. AHP weighting results on quality criteria is 0.197, price with a weight result of 0.296 delivery with a weight result of 0.401, communication system with a weight result of 0.035, and packaging capability of 0.07. The results of supplier ranking with a rating scale obtained the priority of the first supplier with a final assessment result of 3.551, namely supplier A with a high-performance category. Meanwhile, another alternative priority is supplier B with a final result of 2.641 in the performance category according to standards.

A hybrid AHP-TOPSIS, MOORA technique for multi-objective optimization of thermal, mechanical, and water absorption behavior of epoxy/hemp, pine apple, and palm fiber composites

ABSTRACT Natural fiber composites are capable of replacing synthetic fiber composites in aeronautics, transportation, architecture, and sports. This work used epoxy matrices to produce natural hybrid fiber composites from hemp, pineapple, and palm fiber. To choose the best material for a design or component, a thorough and successful approach is needed. Material selection judgments are best handled by multi-criteria decision-making (MCDM) procedures. Integrated MCDM approaches like AHP, TOPSIS, and MOORA rank epoxy-hemp-pineapple-palm fiber composites. TOPSIS and MOORA use AHP weights to rank objects. AHP weights are used to rank objects in both the TOPSIS and MOORA methods. Selection is based on a variety of properties of the generated composites, including water absorption and specific heat capacity, in addition to density, hardness, tensile strength, and toughness. The thermal degradation of fiber polymerization is assessed by thermo-gravimetric analysis (TGA). According to a thorough evaluation of MCDM methodologies, a hybrid composite made of palm, hemp, and pineapple performed best, followed by a hybrid composite made of palm and pineapple. This study found that a palm fiber composite has subpar results. Scanning electron microscopy (SEM) is used to examine fiber form and interfacial bonding in composite samples that have been exposed to tension fracture.

An integrated framework for agricultural non-point source pollution control technology evaluation: Application of an improved multiple attribute decision making method

An Intuitionistic Fuzzy - Combined Weight - Mahalanobis distance - Multiple Attribute Decision Making (IFCM-MADM) method is proposed to solve comprehensive evaluation problem of the pollution control technologies for non-point sources in planting industry. The method is able to achieve cooperative improvement of the traditional TOPSIS on quantitative transformation of qualitative data in the evaluation indices by integrated intuitionistic fuzzy theory, subjective–objective combination weight calculation for the evaluation indicators by coupling the AHP and entropy weighting method, and accurately calculation on the distance between the evaluation object and the positive/negative solution by introducing the Mahalanobis distance to avoid the impact of correlation between indicators. Then, 34 typical technologies for agricultural non-point source pollution control selected from Major Science and Technology Program for Water Pollution Control and Treatment (MSTPWPCT) in China are employed for case application and validation, and the evaluation result obtained by IFCM- MADM has been deeply analyzed by comparing with the recommendation technologies provided by MSTPWPCT and the other two evaluation methods. The result shows that, the IFCM- MADM method can provide a scientific evaluation and selection of the technologies with high comprehensive benefits (including economic benefits, environmental benefits, and technical performance), which is highly consistent with the recommendation result from MSTPWPCT, and is capable to weaken the disadvantage of the objective weighting method and subjective weighting method, to a certain extent. The proposal of IFCM-MADM is the first attempt to enhance the traditional TOPSIS by extending its abilities on quantitative data processing, index weight calculation and accurate calculation of relative closeness, concurrently, and the method is also appropriate to other practical environmental evaluation problems with high complexity and multiple attributes.

Locally Administered Photodynamic Therapy for Cancer Using Nano-Adhesive Photosensitizer.

Photodynamic therapy (PDT) is a great potential anti-tumor therapy owing to its non-invasiveness and high spatiotemporal selectivity. However, systemically administered photosensitizers diffuse in the skin and the eyes for a long duration, which cause phototoxicity to bright light and sunlight. Therefore, following PDT, patients must avoid exposure of to light and sunlight to avoid this phototoxicity. In this study, we have developed a locally administered PDT using nano-adhesive porphyrin with polycations consisting of quaternary ammonium salt groups (aHP) as a photosensitizer. The aHP, approximately 3.0 nm in diameter, adhered the negatively charged cell membrane via electrostatic interaction. The aHP localized to the endosome via cell adhesion and induced apoptosis upon 635 nm light irradiation. On being administered subcutaneously on the tumor, 30% of the injected aHP remained in the administered sites. However, low-molecular-weight hematoporphyrin dihydrochloride (HP) disappeared due to rapid diffusion. PDT with locally administered aHP showed a higher anti-tumor effect after light irradiation at 635 nm for three days compared to low-molecular-weight HP. Intraperitoneal administration of HP caused severe phototoxicity upon irradiation with ultraviolet A at 10 J cm-2, whereas aHP did not cause phototoxicity because its diffusion into the skin could be suppressed, probably due to the high-molecular weight of aHP. Therefore, locally administered PDT with aHP is a potential PDT having high therapeutic efficacy without phototoxicity.

Evaluation and Prediction Models for Blast Furnace Operating Status Based on Big Data Mining

Based on the historical data of a commercial blast furnace (BF), the evaluation and prediction models for the BF comprehensive operating status were established by big data mining methods. Firstly, based on the data resources of the data warehouse of BF ironmaking, clean data were obtained by processing the original data with the problem of null values, outlier data, and blowing-down operations data. Then, the AHP_EWM_TPOSIS evaluation model was built with the combined weight of AHP and EWM and the improved TOPSIS algorithm. Finally, the model evaluation results were verified with the actual production situation, and the comprehensive matching rate reached 94.49%, indicating that the model can accurately judge the comprehensive operating status of BF. The evaluation result was the target parameter for building the BF comprehensive operating status prediction model. The results showed that the stacking model achieved better results than the base models in all indicators. The accuracy index of the deviation between the predicted value and the actual value within ±0.05 reached 94.50%, which meets the practical needs of BF production. The evaluation and prediction models provided timely and accurate furnace condition information to the operators in the BF smelting process, which promoted the long-term stable operation of the BF condition.

Performance Measurement Supply Chain Management (SCM) Using the Supply Chain Operation Reference (SCOR) Method at PT X

In the world of the fertilizer industry in Indonesia, there are some of problems in the process of planning, procurement and, delivery of materials that adversely affect the company's operations. One approach to fixing this problem is to use a SCOR strategy that is effective in improving the supply chain. PT. X is one of the fertilizer companies whose current condition is that there are problems in planning to meet the needs for production supporting materials so which has the potential to hinder fertilizer production. This is because PT X has not carried out an analysis that hinders demand planning or the supply chain as a whole. Thus, researchers can measure the value of effectiveness in the supply chain to improve targets that have not been achieved. In this research, a scoring method called SCOR was used which included AHP weighting. Fifteen key performance indicators (KPI) were generated based on the five SCOR model indicators used in processing, namely data plan, source, make, delivery, and return. With a final score of the SCM performance level of 86.872, which is included in the Good category. However, this value can still be improved so that it is included in the excellent category, namely >90. So inecessary to identify KPI indicators that have performance values that are not yet optimal, and to make suggestions for improvements to increase PT X SCM performance values.

Power battery third-party reverse logistics provider selection: Fuzzy evidential reasoning

Massive power batteries (PBs) are crucial to new energy vehicle enterprises. Due to Extended Producer Responsibility (EPR), the third-party reverse logistics provider selection(3PRLPs) process has become an important decision to save cost. This paper uses an innovative combination of qualitative analysis and quantitative data integration to address the PB 3PRLPs problem by using Failure Modes and Effects Analysis (FMEA) and fuzzy evidential reasoning (FER). Firstly, the possible failures and potential effects in the PB 3PRLPs are identified by the FMEA to determine criteria and importance grades. Subsequently, AHP is utilized to calculate the criteria weight based on the importance of grades. FER is creatively applied to address the intersection of assessment grades and allocate the belief degree (BD) of the interaction to fuse heterogeneous data. Additionally, sensitivity analysis is done to look into the stability of the sequencing. Compared with other methods, the proposed method not only solves the subjectivity of AHP weighting but also manipulates probabilistic and fuzzy uncertainties for multi-criteria decision-making (MCDM). This method is useful in quantitatively analyzing the 3PRLPs problem and in providing auxiliary decision support for enterprises.

Penentuan Prioritas Pemberian Respon Informasi Terhadap Nilai Laporan pada Helpdesk Service dengan Menggunakan Metode AHP

Helpdesk Service at PT XYZ uses Zendesk media to communicate. This study aims to determine the priority of reports that need to be prioritized by the helpdesk service in communicating through Zendesk media. The process of determining the priority of Zendesk's media report features uses the AHP method in the weighting which is then tested with the Consistency Index and Consistency Ratio to find the priority percentage. It is later f ollowed by the determination of helpdesk officers ’ activities in supporting the report criteria that need to be prioritized in accordance with the company's vision in providing services. The test results can be used as operational standards and references for helpdesk officers in carrying out their duties. From the AHP weighting and CI & CR testing which are then converted to percentages, it i s found that the percentage of the First Response report criteria is 49%, followed by Solved Ticket of 31% and Agent Touch of 20%. Based on these criteria, each helpdesk can pay attention to alternative steps in responding to activities.

Application maturity evaluation of building steel structure welding robotic technology based on combination weight and multi-level grey theory

In China, steel structure building has become an important direction of national support and development. As a link in steel structure construction, welding plays a vital role. With the continuous development of domestic steel structures in the direction of “big, special, and new”, manual welding becomes increasingly difficult. The application of robotic technology can effectively reduce the problems of unstable quality and low efficiency caused by manual welding. However, how to evaluate the overall application effect of this technology from the perspective of steel structure construction projects is an urgent problem to be solved at present. Through an in-depth analysis of the technology of building steel structure welding robots, combined with the idea of the capability maturity model and WSR methodology, the evaluation index system of application maturity of building steel structure welding robotic technology is designed. In addition, according to the gray, fuzzy, and difficult-to-quantify characteristics of the evaluation index system, the evaluation model of the application maturity of the building steel structure welding robot technology is established by using the subjective and objective combination weighting method and the gray system theory. In this model, the mixed weighting method of AHP and entropy weight method is used to determine the index weight, and then the multi-level gray theory is used to comprehensively evaluate the maturity of the technology application. Lastly, a project is used as an example to check the science and feasibility of the model.

Analyzing the measurement of employee performance with human resources scorecard and AHP

The Present development of globalization is improving and having an impact on the higher rate of business competition. An Employee is one of the biggest factors for the company development, therefore it is important to assess the employee performance for the company's success. This research aims to analyze the measurement result of the employee performance using the human resource scorecard and analytic hierarchy process. The data was obtained through a questionnaire that was distributed to 25 employees in heavy equipment rental department on PT. Surya Trias Gemilang Surabaya, conducted a data adequacy test, consistency test on the questionnaire, and continued with the AHP weighting. The result showed that the company experienced a decrease in employee performance from a financial perspective which means the company needs special attention from a financial perspective. The company needs to discover the utilization of net income obtained by the company to increase effectiveness for using company assets.