Entropy TOPSIS Method Research Articles

A distributed simulation-optimization framework for many-objective water resources allocation in canal-well combined irrigation district under diverse supply and demand scenarios

To address the issues of both water resources allocation and sustainable management in agriculture areas with rising food demand, a simulation-optimization framework based on Flopy and Pymoo was proposed and developed for canal-well combined irrigation districts. The proposed framework first solved the many-objective water resources allocation problem which integrates groundwater simulation, crop production, and farmer income modules to quantitatively reveal the various trade-offs and synergies by using NSGA-III algorithm. The Entropy-TOPSIS method was then applied to recommend proper water allocation schemes. The proposed framework was further tested in Baojixia irrigation district considering various water supply and crop demand scenarios based on Copula-based uncertainty analysis. The Key findings are as follows: (1) the proposed framework could effectively optimize conjunctive water resources allocation problems of both surface water and groundwater; (2) low supply combined with high demand (p=0.17) is more likely to occur than high supply with high demand (p=0.02); (3) increased crop demand and restricted surface water negatively impact both water productivity and groundwater sustainability; and (4) the cumulative groundwater drawdown of recommend schemes is 36.9 % and 6.5 % higher under low to medium supply scenarios, while water productivity of recommend schemes decreases 28.2 % and 9.7 % with high and medium demand. This framework could provide useful insights for sustainable agricultural water management in canal-well combined irrigation district with various uncertainties in supply and demand scenarios.

Development of a novel energy efficient integrated system for concurrent waste water treatment, hydrogen production and carbon capture- A sustainable approach

Microbial Electrochemical Cells (MECs) technology offer a promising, integrated solution for wastewater treatment and hydrogen production. The present research aims to optimize the operation of a hybrid system for achieving high-efficiency wastewater treatment, carbon capture, and hydrogen production. Multi-criteria decision methods are used to identify optimal conditions for maximum performance. Wastewater Flow Rate (WFR), Energy Consumption (EC), Nanocomposites Concentration (NC), and Temperature (T) are chosen as input parameters. Utilizing the Entropy-TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method, the optimal outputs were determined for specific input settings. The proposed system exhibited optimal input settings at 1100 m³/day (WFR), 95 kW (EC), 34 mg/L (NC), and 36 °C (T). NC emerged as the most influential parameter, holding a significance weightage of 32%, followed closely by temperature. Under these optimized conditions, the system demonstrated exceptional performance, achieving a Wastewater Treatment Efficiency of 98.1%, Carbon Capture Efficiency of 97%, and a Hydrogen production flow rate of 17.76 m³/hr. This research lays a foundation for sustainable and versatile wastewater management practices, emphasizing the potential of MEC systems in contributing to cleaner and resource-efficient industrial ecosystems.

Entropy-TOPSIS Method Approach: A Comprehensive Quarterly Assessment with Application in Turkey's Cement Sector

The objective of this research is to determine the financial performance of Turkish cement firms using quarterly data from the period between 1997 and 2022 through the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The research takes into account company mergers that occurred in 2020 and analyzes two distinct periods: from 1997 to 2020, and post-2020. Fourteen companies were examined in the first period, while ten companies were assessed in the latter period. To measure financial performance, ten common financial ratios selected based on literature were utilized. Determining the importance of these financial ratios is a crucial step in multi-criteria decision-making techniques; hence, the entropy method was employed to address this issue. According to empirical results, before the company mergers, UNYE and MARDIN cement firms were observed to consistently perform well financially, often ranking at the top based on the financial parameters considered. However, after the merger, it has been noted that BUCIM consistently held the top position in every quarter.

Evolution of Resilience Spatiotemporal Patterns and Spatial Correlation Networks in African Regional Economies

This paper comprehensively utilizes the entropy-TOPSIS method, Lyapunov index, and kernel density estimation to measure the spatiotemporal evolution characteristics of regional economic resilience in 52 African countries (regions) from 2008 to 2019. It also examines the spatial network characteristics of regional economic resilience in each country (region) through gravity models and social network analysis. The findings reveal that: (1) Although the resilience of African regional economies fluctuates, it generally shows an improving trend. Traditional economic powers and regional giants such as Libya, Nigeria, South Africa, Egypt, Morocco, and Tunisia demonstrate outstanding performance in economic resilience. (2) In terms of scale resilience, the countries along the North African Mediterranean coast exhibit particularly prominent advantages. However, the overall performance of Africa in fiscal resilience and openness resilience tends to be weak. Industrial resilience is influenced by colonial legacies and tends to stabilize. (3) The differences in economic resilience values and the fluctuation trajectories of economic resilience levels converge. North African economies exhibit resilience far higher than the mean and other regions, while East, West, and Central Africa consistently perform below the mean in the long term. Southern Africa’s gap from the mean is relatively small, leading to a stalemate. The fluctuation amplitude of differences within each region varies. (4) The overall level of resilience in African regional economies has steadily improved, displaying a trend of polarization. There is evident spatial polarization in West Africa, with Southern Africa demonstrating a trend of multipolarity transitioning towards bipolarity. Conversely, North Africa strengthens its features of bipolar differentiation, while East and Central Africa exhibit tendencies towards multipolarity. (5) Despite some fluctuations in the spatial network of regional economic resilience around 2016, connections among African countries have become increasingly tight, gradually forming three major spatial correlation network clusters: the North African Mediterranean coast, the West–Central African Pan-Gulf of Guinea region, and the East–South African Rift Valley region. Nigeria holds a prominent position as a regional core. Zambia, Cameroon, and the Central African Republic have played certain regional core roles at different times. Nigeria and South Africa also demonstrate significant intermediary roles, while Zambia, Cameroon, and Burkina Faso act as bridges in different periods of network connections. Based on the characteristics of spatial correlation networks, African regions gradually form four major cohesive subgroups and eight sub-subgroups.

Innovative time and attendance system software selection for a private hospital: leveraging the entropy-TOPSIS method

Innovative time and attendance system software selection for a private hospital: leveraging the entropy-TOPSIS method

A competitiveness analysis of Guangxi Beibu Gulf Port Group based on the entropy TOPSIS method

ABSTRACT This article analyzes the strategic positioning of Guangxi’s cooperation with Southeast Asia in the Belt and Road Initiative, and explains the importance of port development to Guangxi. By constructing an evaluation indicator system and using the entropy-Topsis method to measure and rank the comprehensive competitiveness of 17 listed companies in China’s port industry from 2017 to 2021, we show that the competitiveness of Beibu Gulf Port Group has slowly increased, its cooperation around the Belt and Road Initiative has ushered in a broader space for development, and it has gradually becoming an essential hub of China- ASEAN cooperation. At present, the biggest problem facing Beibu Gulf Port Group is that the enterprise’s ability to attract talents is insufficient, resulting in the lack of innovative talents to promote the modernization of the enterprise. We put forward some suggestions and give the future research direction.

Bi-Objective Mixed Integer Nonlinear Programming Model for Low Carbon Location-Inventory-Routing Problem with Time Windows and Customer Satisfaction

In order to support a low-carbon economy and manage market competition, location–inventory–routing logistics management must play a crucial role to minimize carbon emissions while maximizing customer satisfaction. This paper proposes a bi-objective mixed-integer nonlinear programming model with time window constraints that satisfies the normal distribution of stochastic customer demand. The proposed model aims to find Pareto optimal solutions for total cost minimization and customer satisfaction maximization. An improved non-dominated sorting genetic algorithm II (IMNSGA-II) with an elite strategy is developed to solve the model. The model considers cost factors, ensuring that out-of-stock inventory is not allowed. Factors such as a carbon trading mechanism and random variables to address customer needs are also included. An entropy weight method is used to derive the total cost, which is comprised of fixed costs, transportation costs, inventory costs, punishment costs, and the weight of carbon emissions costs. The IMNSGA-II produces the Pareto optimal solution set, and an entropy–TOPSIS method is used to generate an objective ranking of the solution set for decision-makers. Additionally, a sensitivity analysis is performed to evaluate the influence of carbon pricing on carbon emissions and customer satisfaction.

Comparison of Corporate Sustainable Performance of Deposit Money Banks with Entropy-Topsis Method

Banks are the building blocks of the economic system and are of great importance in achieving sustainable development. Banks are expected to integrate sustainability into their corporate strategies, respect the environment, contribute to society at a higher level and emphasize transparency in their relations with stakeholders. The study aims to analyze the corporate sustainability performance of conventional banks operating in Turkiye. In this context, the corporate sustainability performance of 5 deposit banks operating in Turkiye is categorized according to 14 indicators within the scope of environmental, social and economic dimensions. Since the importance levels of each indicator used in the research may be different, firstly, the importance weights of the 14 indicators were calculated by entropy method, which is one of the objective weighting methods. Then, the corporate sustainability performance of the banks was obtained using the Topsis method, which is one of the multi-criteria decision-making methods. The Topsis method showed that İşbank has the best corporate sustainability performance among the five banks subject to the study.

Study on the Financial Performance of the Cruise Industry Based on Entropy TOPSIS Method

Study on the Financial Performance of the Cruise Industry Based on Entropy TOPSIS Method

Examining the complex relationship between Urbanization and ecological environment in ecologically fragile areas: a case study in Southwest China.

The sustainable development of ecologically fragile areas and the implementation of regional coordinated development strategies cannot be separated from the coordinated development and common progress of urbanization and the ecological environment, and this is particularly the case in Southwest China. This study examines the interplay between urbanization and the ecological environment across 26 cities in Southwest China from 2009 to 2019, utilizing 30 statistical indicators to analyze their coupling coordination relationship and its spatiotemporal evolution. The Entropy TOPSIS method, the coupling coordination degree model, and the obstacle factors model were used to calculate the subsystem score, coupling coordination degree, and obstacle factors, respectively. Our findings reveal an upward trajectory in urbanization scores across the 26 cities, juxtaposed with a fluctuating downward trend in ecological environment scores. The coupling coordination degree of urbanization and ecological environment in most cities maintained a rapid upward trend and showed spatial distribution characteristics of "strong core, weak middle, and edge." Moreover, our analysis identified public transport facilities, aggregate purchasing power, and cultural supply service services as primary obstacle factors impeding the development of coupling coordination degrees. These research results offer valuable insights for informing future endeavors in achieving high-quality development and fostering ecological civilization.

Investigating the tribological properties of TiO2 nanoparticles added Thevetia peruviana and Cucurbita pepo L. blend oils

The paper studies the lubricant properties of blends of Thevetia peruviana oil (TPO) and Cucurbita pepo L. oil (CPO) prepared at different proportions. The physicochemical properties were determined as per ASTM standard and the anti-wear and extreme pressure tests were performed using four-ball tribotester as per ASTM D4172–94 and ASTM D2783, respectively. The blend of 40% TPO and 60% CPO was found the best blend as per the Entropy-TOPSIS method and further at optimal concentration of 1 wt% of titanium oxide nanoparticles it exhibited the coefficient of friction of 0.0329 ±0.002 and wear scar diameter of 0.291 ± 0.005 mm. The present study indicates that TPO-CPO blends with optimal additivation can be an alternative biodegradable solution to commercial mineral oils.

Systematic evaluation of the elderly care industry based on energy factor inputs

The energy factor is the foundation of economic and social development, and it is also an important prerequisite for the effective operation of the elderly care industry. Based on the perspective of energy factor input, this paper constructs the DPSR mechanism model of the energy-elderly care industry system. Taking Shanghai as an example, through its 2010–2019 15 index data such as energy factors and industrial economy, the Entropy-TOPSIS method is comprehensively used to evaluate the energy-elderly care industry system. Finally, the following conclusions are drawn: (1) The energy factor has an important impact on the operation of the elderly care industry through its effect on the driving force module, the pressure module and the state module; (2) The elderly care industry has an important impact on the energy factor through the conduction of the response module; (3) The evaluation results of the Shanghai energy-elderly care industry system showed a continuous improvement trend from 2010 to 2019.

Optimizing thermal stability in permafrost regions: A comprehensive evaluation of encapsulated phase change material enhanced energy storage embankments

The melting of permafrost can cause serious damage to road structures. This study prepares a phase change geotextile (PCG) with heat absorption and waterproofing properties and proposes a new type of cooling structure called a phase change energy storage embankment (PCESE). A finite element model of the road is established to quantify the artificial permafrost table (APT), mean annual ground temperature (MAGT) at the bottom of the embankment, and mean daily cooling rate (MDCR) of the asphalt pavement surface under different PCESE structures. This study focuses on exploring the effects of the type of epoxy resin composite phase change material (ERPCM), dosage of ERPCM, and position of the PCG on various indices. The Entropy-TOPSIS method is used to evaluate the comprehensive performance of the PCESE and determine the optimal structure and optimization strategy. The results demonstrate that the addition of PCG to an embankment always improves the APT and MDCR, but does not necessarily reduce the MAGT. The optimal type of ERPCM, dosage of ERPCM, and position of PCG are ERPCM2, 12 kg/m2, and 3.0 m, respectively. The dosage of the ERPCM had the highest positive correlation with comprehensive performance. Considering the distribution of comprehensive performance and coefficient of variation under different structures, the recommended type of ERPCM, dosage of ERPCM, and position of the PCG are ERPCM1, 12 kg/m2, and 2.5 m, respectively.

An application of AHP and fuzzy entropy-TOPSIS methods to optimize upstream petroleum investment in representative African basins

The growing demand of China for petroleum heightens the complexities and prospects in worldwide investments, necessitating refined and strategic investment approaches. Evaluating the potential of different hydrocarbon-potential areas needs more comprehensive scientific evaluation models. This study aims to establish a Comprehensive Investment Potential of Petroleum (CIPP) framework for targeted sedimentary basins by using an integrated approach that combines the Analytic Hierarchy Process (AHP) and the Entropy-Weighted Fuzzy TOPSIS models. We focus particularly on representative African basins to inform strategic decision-making for the Chinese overseas petroleum enterprises. We firstly interpret the geological condition of these petroleum basins by researching multiple databases and proprietary research data. Then, we use a combined approach of ranking-classification-correlation analysis to evaluate 17 representative basins, taking into account both overall and individual key performance indicators. Our findings suggest the Illizi Basin and the Offshore Côte d'Ivoire Basin could be the most favorable for investment and development. Those like Southwest African Basin warrant cautious consideration. The new evaluation model and computational workflow offer an effective workflow for assessing multiple petroleum basins. This work provides not just practical investment strategies for companies aiming for African petroleum basins, but also a transferable methodology for optimizing investment decisions.

Comprehensive evaluation of the working mode of multi-energy complementary heating systems in rural areas based on the entropy-TOPSIS model

BackgroundThe establishment of a multi-energy complementary heating system (MECHS) using abundant renewable energy is currently an effective way to solve the rapid growth of heating demands in rural areas. However, coupling schemes for different energy sources have become a critical barrier to the MECHS development. ObjectivesThe entropy-TOPSIS method was used to conduct a comprehensive evaluation of MECHS, which provided a basis for optimizing system operation strategy. MethodsWe built a test platform for MECHS based on solar-biomass-electricity energy in Tumxuk, Northwest China. Frist, six working modes were established according to the system operation control strategy. Second, we constructed the evaluation indexes of MECHS considering energy, environment and economy and determined their weights using entropy weight method. Third, the TOPSIS model was used to perform a comprehensive evaluation of the different working modes to identify optimal energy supply schemes. ResultsOur case study showed that the MECHS operated stably and met the indoor temperature demands of rural houses in cold regions. To maximize the heating efficiency of the system, it is necessary to reduce the types of energy appropriately. Next, based on entropy-TOPSIS model, the recommended order of energy supply mode for heating systems were solar-biomass energy (0.6202), solar-biomass-electric energy (0.6152), solar-electric energy (0.5895), biomass energy (0.4075), biomass-electric energy (0.3680), and electrical energy (0.3603). We found that the optimal energy supply mode was solar-biomass. ConclusionOur results indicated that the entropy-TOPSIS model could provide practical recommendations for the design and operation strategies of MECHS in cold rural areas.

Accuracy Analysis of WP, AHP-WP, Entropy-Topsis Methods in Determining Majors

Determination of majors at SMK AR Rahma is still manual and Excel is only used to find average scores. On the other hand, the number of students is around 140 students, so the majors can cause inaccuracies. In this study, the accuracy of the WP, AHP-WP, and ENTROPY-TOPSIS methods was analyzed in determining the majors of SMK AR Rahma’s students. So that it will be known which method is more accurate in producing student majors. In the process of student majors, data are needed in the form of report cards, academic test scores, majors test scores and health scores. The result is that the majors produced by the AHP-WP method are more accurate than the majors produced by the other two methods, respectively by 70.71%, 64.29%, and 62.86%.

Research on the construction of evaluation system of physical education courses in general colleges and universities in the digital era based on the concept of “three comprehensive education” of big data

Abstract In this paper, the evaluation system of “three comprehensive education” physical education courses was firstly constructed by the entropy-TOPSIS method, and the weights of the evaluation indexes were determined by the entropy-weight method. Then, the scores of teaching effectiveness indicators were calculated, and the results of the first-, second- and third-level indicators were analyzed to evaluate the effectiveness of “three-inclusive education” physical education in colleges and universities. Ultimately, the learning effects of students of different stages and genders were compared, and the reasons for the disparities were thoroughly examined. The overall effect of teaching physical education on the concept of 'three holistic education' is 0.716, which is at the middle level. Male students had a mean value of sports participation of 3.65, while female students had a mean value of 3.46, with significant differences between the two genders. The aim of this study is to promote the overall development of physical education in colleges and universities and enhance the overall quality level of students.

Examining coordination and equilibrium: an analysis of supply index and spatial evolution characteristics for older adult services in Zhejiang Province.

This study aims to analyze the spatial distribution and dynamic evolution of older adult service supply in Zhejiang Province from 2010 to 2019. Additionally, this research seeks to propose an optimized resource allocation strategy for older adult care services, promoting regional fairness and coordinated development. To evaluate the older adult service supply capacity, this research first constructed an evaluation index system based on the Chinese modernization development pattern. Then, an empirical analysis was carried out using a combination of the entropy-TOPSIS method, kernel density estimation, Markov chain analysis, Dagum Gini coefficient, and panel regression model. The results show an overall upward trend in the supply and service capacity of older adult care in the whole province. However, the spatial distribution of older adult service supply capacity in Zhejiang Province still exhibits a gradient effect, even in the most recent year of 2019. Furthermore, the supply capacity of older adult services shifted to a higher level in the whole province, and regions with high supply capacity had a positive spillover effect on adjacent regions. The overall difference in the older adult service supply capacity of the province showed a decreasing trend. The level of economic development, urbanization rate, transportation capacity, the level of opening up, and the proportion of employees in the tertiary industry had a significant impact on the supply capacity and spatial difference of older adult services. From the findings, this study puts forth countermeasures and suggestions to optimize the spatial distribution of older adult care services. This includes giving full play to the regional spatial linkage effect, promoting new-type urbanization construction, upgrading the transportation network, and expanding the opening up of the industrial structure. By implementing these measures, a more equitable and coordinated older adult services system can be developed in Zhejiang Province.

Evaluation of port competitiveness along China’s “Belt and Road” based on the entropy-TOPSIS method

Based on the literature on the factors influencing port competitiveness, this paper evaluates the competitiveness of Chinese ports along the Belt and Road based on Porter’s diamond model. The evaluation system includes four primary indicators, including port infrastructure, port operation scale, port hinterland economic level and port development potential, and 13 secondary indicators. Then, based on the entropy-TOPSIS method, an evaluation model of port competitiveness is constructed. Finally, 15 seaports along China’s “Belt and Road” are used to evaluate competitiveness, and a comprehensive ranking of port competitiveness is obtained. The advantages and shortcomings of each port are pointed out according to the evaluation results to provide a reference for the long-term development of the competitiveness of ports along the “Belt and Road” in China.

Coupling analysis and driving factors between carbon emission intensity and high-quality economic development: Evidence from the Yellow River Basin, China

This study aims to explore the complex dynamic relationship between carbon emission intensity (CEI) and high-quality economic development (HQED) in the Yellow River Basin (YRB), with the goal of fostering ecological protection and high-quality development strategies. However, there is limited knowledge on the comprehensive development level, evolutionary trends, and driving factors of these two systems in the YRB. To address this, the study uses multiple methodologies, including nighttime light data, the entropy-topsis method, the coupling coordination degree model (CCDM), exploratory spatial data analysis (ESDA), and the geodetector model, to examine the coupling coordination relationship and driving factors between CEI and HQED across sixty cities in the YRB from 2010 to 2019. The results reveal a decreasing trend in CEI and a “U”-shaped development trend for HQED, characterized by low coordination and significant spatial imbalance. Moreover, per capita GDP, population density, urbanization level, industrial structure, and energy intensity are found to have significant driving effects on the CCD. Based on the results, the study suggests policies to boost the CCD between CEI and HQED. These involve promoting green transitions, endorsing spatially tailored development strategies, and implementing interventions on major CCD drivers for balanced growth. It also proposes refining regional governance and establishing an innovation fund for green technologies, particularly beneficial for underdeveloped regions. These policy implications could guide economic development and emission reduction strategies in ecologically fragile and economically underdeveloped regions.