Evaluation Criteria System Research Articles

Research on the Selection of Green Cold Chain Logistics Service Providers Based on Combined Weighting-Cloud Model

For enterprises whose products need to be frozen and refrigerated transportation, the selection of green cold chain logistics service providers is one of the indispensable links, cold chain logistics service providers are involved in many different levels, so how to reasonably select cold chain logistics service providers is particularly critical. In this paper, the evaluation criteria system of green cold chain logistics service providers is established from five dimensions: cold chain logistics service quality, cold chain logistics service cost, cold chain logistics service capability, cold chain logistics green competitiveness and cold chain logistics enterprise management status. Combined weighting method based on minimum information discrimination principle, including BWM method and CRITIC method to determine comprehensive weight, avoids the limitation of single weighting method to determine index weight. Aiming at the randomness and fuzziness in the evaluation process of green cold chain logistics providers, a cloud model evaluation method of cold chain logistics providers is proposed. The case study shows that the proposed combined weighting method overcomes the one-sidedness of the single weighting method and improves the rationality of the weights. The cloud model evaluation method of cold chain logistics suppliers proposed in this paper is helpful to deal with the randomness and fuzziness in the process of weight combination, and improve the effectiveness and scientific rationality of the weight combination results.

Evaluation Criteria for Quality Education of Physical Education Lessons Based on Logical Analysis

To cultivate high-quality talents, it is important to develop a set of scientific and complete evaluation criteria for comprehensive quality. The effective evaluation could promote and guide teaching and learning, and improve the overall quality of students. Considering the features of PE lessons, this paper resorts to multiple methods, e.g., questionnaire survey, Delphi’s method, mathematical statistics, and logical analysis, to establish a system of evaluation criteria for the quality education of PE lessons, the proposed system includes 4 primary indices, 10 secondary indices, and 24 tertiary indices. The weight of each index was determined through analytic hierarchy process (AHP), making the criteria more scientific. Taking the PE major of a college for example, the proposed criteria were investigated empirically. The results show that experts, teachers, and students made consistent evaluations. Thus, the proposed system and evaluation criteria are feasible, and capable of evaluating the overall quality of students objectively and fairly. The research results provide a tool and idea for improving the quality education of PE lessons in China, and promoting the evaluation of students’ overall quality.

Multi criteria decision-making for distributed energy system based on multi-source heterogeneous data

The distributed energy system (DES) has been regarded as a socio-technical innovation that can improve energy efficiency and reduce carbon emission. Based on the construction and planning of a DES project in Henan Province, this paper aims to develop a comprehensive decision-making framework for selecting the most appropriate DES composition schemes with multi-source heterogeneous data. Thus, a new multi-criteria decision-making method based on fuzzy preference relations and improved Choquet integral is generated. Firstly, an evaluation criteria system is established from economic, technical, environmental and social dimensions, and 10 secondary criteria are presented. Secondly, based on the interval fuzzy preference relations of criteria given by experts, the iteration of weights of criteria is continued until the group consistency degree reaches the threshold. Thirdly, the deviation degree is used to transform the initial data, which include crisp values, interval numbers and linguistic terms to isomorphism data. Thereafter, the fuzzy measures are calculated using Mobius transformation coefficients and the final scores of the alternatives are obtained by means of Choquet integral, which can eliminate the overlap information between criteria. Finally, a real case is given to illustrate the effectiveness of the proposed evaluation criteria and technique. The result shows the multi energy complementary system as the most appropriate alternative for the project, followed by the solar-air source heat pump system, fuel cell system, natural gas system, internal combustion engine system and traditional system. Conclusively, the discussion, comparative analysis and some policy implications to promote the development of distributed energy industry are given. This study not only can assist stakeholders to obtain greater benefits of the DES, but also can serve as a reference for the government towards the development of more robust regulations and policies.

Storage size determination for grid-connected wind power system based on power spectral density analysis

Energy storage system (ESS) is essential for wind power integration, and it has become more and more important to optimize the wind-energy storage system (WESS) for keeping power grid safe and stable. In this paper, a novel energy storage sizing approach which can improve the performance of WESS is put forward. Firstly, the hinges model is introduced into the power spectral density (PSD) analysis to obtain the low-pass decomposition frequency (LPDF), which is then used for energy storage sizing optimization based on the single-day energy balance. Secondly, a comprehensive evaluation criteria system based on cloud model is proposed to assess various characteristics of WESS. Thirdly, a case study based on a 30 MW wind farm indicates that the power curve of the proposed method meets the conditions for wind power integration, and the size and stability of ESS are optimized. Compared with the traditional filtering algorithms, the WESS performance of the proposed algorithm is improved by 77.55% than wavelet packet decomposition (WPD) and 65.84% than empirical mode decomposition (EMD), and its applicability in different time spans is also verified.

Site selection decision framework for photovoltaic hydrogen production project using BWM-CRITIC-MABAC: A case study in Zhangjiakou

Hydrogen production by photovoltaic power generation can not only effectively alleviate the problem of high cost of electrolysis water by making full use of light resources, but also is an efficient, clean and carbon-reducing way to produce hydrogen. The purpose of this paper is to provide a practical model for site selection decision of photovoltaic hydrogen production project (PVHPP) based on multi-criteria decision-making (MCDM) method, and take Zhangjiakou City, Hebei Province as an example for analysis. Firstly, a set of evaluation criteria system including natural factors, economic factors, technical factors, social factors and environmental factors is constructed. Secondly, probabilistic hesitation fuzzy linguistic term set (PHFLTS) and trapezoidal interval type-2 fuzzy set (TIT2FS) are combined to describe the information of qualitative criteria. Then, the subjective and objective weights are calculated by using best-worst method (BWM) and criteria importance through intercriteria correlation (CRITIC), and the comprehensive weights are obtained by using the idea of game theory. The multi-attribute boundary approximation regional comparison (MABAC) method is then used to sort the alternative plant sites. The ranking results show that A2 (Chongli District) performs the best, and A1 (Qiaodong District) is the second best. Finally, taking Zhangjiakou as an example, sensitivity analysis and comparative analysis are carried out to verify the validity and reliability of the model.

Q-Rung orthopair fuzzy TOPSIS method and the application to information service quality evaluation in online health community

Since the information quality in the online health community is very important for users to obtain valuable health information, information quality evaluation is a necessary research that involves a multi-attribute decision-making (MADM) problem. However, few researches have been done to address both the construction of evaluation criteria and the expression and processing of fuzzy information, especially in online health community. This paper proposes a novel evaluation framework of information service quality combined principal component analysis (PCA) method with the TOPSIS method under q-rung orthopair fuzzy set (q-ROFS) environment. An accurate evaluation criteria system is optimized by the PCA method, and the q-ROF TOPSIS method is proposed to process larger space of fuzzy evaluation information and overcome information loss and information distortion, in which a new distance measure between q-ROFSs is defined and an entropy weight model is initiated to determine the unknown weight of attribute. Moreover, a numerical example is performed to prove the practicability and superiority of the method through comparative analysis, which gives clear results of information quality evaluation of four online health communities. This research ends with fuzzy decision-making theory and application, and provides references for standardizing and improving the information quality of online health communities.

Evaluation of green building suppliers based on IVPLTS-CBR decision-making method

PurposeThe purpose of this paper is to propose a multi-criteria decision-making model based on the case-based reasoning (CBR) method for interval-valued probabilistic linguistic term set (IVPLTS), which can cluster different categories of building suppliers for targeted management.Design/methodology/approachFirst, a new score function and distance measure for IVPLTS are proposed. Second, a green building supplier evaluation criterion system is constructed from five aspects: operation management, green management, cooperation potential, service level and product information. Finally, the IVPLTS-CBR model is used to evaluate the green building suppliers and groups them into three preset categories.FindingsThe feasibility and validity of the proposed method are verified by comparing with the advanced TOPSIS method and the IVPLTS-based VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method. The compared results show that the proposed method is more consistent with the actual situation and has strong theoretical significance and practical value.Research limitations/implicationsThis paper presents a new method for clustering construction suppliers. Decision makers can use this method to classify construction suppliers into different categories, so that they can be targeted management. In this way, suppliers can be better guided and motivated to accelerate the green transformation and contribute their share to achieve the strategic goal of carbon neutral and carbon peak as soon as possible.Originality/valueA new score function and distance measure for IVPLTS are proposed. Besides, a novel IVPLTS-CBR method is applied to rank and cluster building suppliers.

Matching Model for Multiple Delivery Methods in Last-Mile Delivery for Online Shopping

Against the background of e-commerce, online shopping has seen considerable growth in China, as in the rest of the world. The last mile of delivery services for online shopping is a logistics challenge that affects service performance. This study has two main aims: first, to construct an evaluation criteria system for last-mile delivery service; and second to propose a matching model, capable of ranking six delivery methods according to customer preferences in the different urban areas. The factors base is established from the literature and from questionnaires and interviews with experts. Moreover, by conducting a questionnaire with consumers and analyzing the data, this research identifies the top 15 factors. The matching model based on the fuzzy analytic hierarchy process is constructed to compute the weight of each factor. The collection of data on customer preference was performed in distinct urban areas. Finally, to illustrate the validity of the criteria factors and the matching model, it was applied to three districts in Chongqing in China. Finally, our theoretical results from the experiments in real-life instances show that the criteria system and the matching model could help express companies to identify appropriate delivery methods in specific areas.

ENVIRONMENTAL LITERACY AS A FACTOR OF CONSOLIDATION OF UKRAINIAN SOCIETY

Emerging economy based on innovation, technological progress creates new sources of growth, reinterpreted with environmental positions the principles of interaction with the environment.
 The relationship of social systems with the components of the natural environment is established through complex correlations of different orientation and depth. Therefore, the level of general scientific study of the processes of interaction between state, society and nature form a new integrated interdisciplinary approaches that integrate and form an unconventional device methodological study of this area.
 Ecological literacy, which is expressed in the development, justification, and most importantly the practical implementation of optimal methods of environmental impact, can serve as an indicator of social maturity, which determines the nature of personal participation in the process of man-made impact on the environment.
 In the long term ecological literacy must become an integral part of literacy work and find a real reflection of a system of criteria for socio-economic evaluation of production results as every labor collective and the individual.
 In modern conditions, the most important trend in business development is socialization, which means: first, active involvement in solving priority social problems of enterprise development, the region and the state as a whole; secondly, clearly defined socially oriented investments of enterprises in the improvement of the internal and external environment, in corporate social programs; third, various forms of charitable and sponsorship activities.
 Response to environmental risks must become conscious of the need for greening of consciousness and life in Ukraine. That is, learning certain environmental perceptions and attitudes towards nature and implementation in daily practice technologies that do not cause irreparable damage to the environment, changing lifestyles of people to safer spread respect for natural resources.
 The solution to all these issues requires a thorough environmental legal framework will be to: broad international cooperation in the environmental field to address environmental safety and environmental protection; ensuring social and environmental security; monitoring the problems of ecologically oriented lifestyle in Ukraine according to the method of "Green Barometer" (the Green Barometer); the introduction of new technologies in Ukraine; the need to develop principles for the transition from economics to energy economics.

A Fuzzy Analysis Framework for Comprehensive Benefit of Photovoltaic Poverty Alleviation Project Under Sustainability Perspective: A Case Study in Yunnan, China

Evaluating the comprehensive benefit of photovoltaic poverty alleviation project (PPA) could understand the effectiveness of the project in poverty alleviation, and provide management support to its sustainable development in rural revitalization. The article proposes a comprehensive benefit analysis framework of PPAP from the perspective of sustainability. Firstly, an evaluation criteria system for PPAP comprehensive benefits assessment is established, including economic, technical, social and environmental aspects. Then, the method with triangular intuitionistic fuzzy number (TIFN) and decision-making trial and evaluation laboratory (DEMATEL) is proposed to calculate the weight of indexes, and improved matter-element extension method (MEEM) with cloud model is used to gain the final result. With an application in four representative areas in Yunnan, the stability and applicability of the framework have been verified. The result shows comprehensive benefits in three area are in good level and the one is in medium, which means the PPAP has achieved the good effectiveness in Yunnan and it has the potential for further development. Lastly, the specific measures to improve the comprehensive benefits are put forward. The study can offer decision supports for managers in related poverty alleviation and provide theoretical reference for decision-making in other fields of management.

Ecological Functions and Human Activity Interference Evaluation in Ecological Protection Redline for Urban Environment

The influences of ecological protection redlines on urban sustainable development can significantly vary from place to place with distinct ecological functions and human activity interference. However, recent research lacks the evaluation of ecological functions and human activity interference in ecological protection redline areas near urban areas. This article presents an evaluation method consisting of two evaluation criteria systems: an ecological function evaluation criteria system based on conserving water resources and soil and maintaining biodiversity and a human activity interfer- ence evaluation criteria system based on the human activity impact index, population and road network density, and the intensity of tourism activity and livelihood sewage discharge. This evaluation method was verified in Zoige County, China, by using remote sensing data to evaluate ecological functions and human activity interference in the ecological redline area for an urban environment. This evaluation method is one of the preliminary studies of urban sustainable develop- ment planning, and the result could provide a basis for the formulation of urban sustainable development strategy.

Comprehensive evaluation of regional energy internet using a fuzzy analytic hierarchy process based on cloud model: A case in China

Regional energy internet is an important application of “Internet+” smart energy in China’s new urbanization process. The evaluation of regional energy internet is a significant way to measure the development level of regional energy internet. However, such work is a blank of current research. Therefore, the purpose of this study is to evaluate regional energy network from a comprehensive view. Firstly, this study establishes an evaluation criteria system for regional energy internet, which consists of four dimensions (technical, economic, social, and engineering) and associated 16 criteria. Secondly, considering the uncertainty involved the evaluation process, cloud model is utilized to depict the fuzziness and randomness, which are indispensable elements in the uncertainty. Thirdly, a fuzzy analytic hierarchy process, which is a combination of AHP and fuzzy set theory, is developed to determine the weights of the identified dimensions and criteria. Finally, the evaluation results in practical case in China show that the comprehensive evaluation grade of the demonstration project is good. And the technical dimension and economic dimension should be noted, mainly involving comprehensive efficiency and energy economy level. The results of the evaluation are exactly consistent with the actual situation, indicating that the evaluation method has strong practical value.

Optimal site selection for distributed wind power coupled hydrogen storage project using a geographical information system based multi-criteria decision-making approach: A case in China

This paper proposes a two-stage location decision-making framework to study the site selection of distributed wind power coupled hydrogen storage (DWPCHS) project for the first time. In the first stage, the restriction criteria system that includes geographical constraints and networking requirements is established. Then the geographic information system is applied to evaluate the suitability of the study area and initially determine the feasible locations. In the second stage, the evaluation criteria system involved four aspects of resource, economy, environment and society is established. And the multi-criteria decision making (MCDM) methods are used for further evaluation. At this stage, the evaluation information of qualitative indicators is described by triangular intuitionistic fuzzy numbers. Afterwards, the fuzzy entropy method is used to calculate the weight of evaluation criteria. Finally, the fuzzy TODIM (an acronym in Portuguese of interactive and MCDM) method is used to rank the feasible locations and screen out the sites with excellent comprehensive performance. To verify the practicability, an empirical study in Hezhang County is conducted. Moreover, the sensitivity analysis and the comparative analysis are carried out to verify the reliability and stability of the decision model. This study can provide support for the site selection of DWPCHS project.

A decision-making framework for scheme selection for sustainable hydropower development

ABSTRACT Sustainable hydropower development has attracted widespread attention since the process of developing hydropower stations could negatively impact the social and ecological environments. However, the widely used decision-making approaches for selecting alternative schemes of hydropower stations focus primarily on cost-benefit analysis and do not fully consider a sustainability assessment framework. Therefore, this study proposes a decision-making framework that addresses scheme selection for hydropower development from a perspective of sustainability and hypothesizes that the optimal scheme determined by the proposed method will be consistent with the real decision result. First, an evaluation criteria system is established for assessing the sustainability features of alternative schemes, which includes social, environmental, and economic aspects. Considering the shortcomings of various methods that are used for multiple-criteria decision-making (MCDM), a new approach that is derived from multiple-attribute decision-making with time series is developed for hydropower development. Finally, considering a planned hydropower station of the Dadu River in China as an example, five alternative schemes are evaluated and analyzed by the proposed framework, and its effectiveness is illustrated through a comparison with an alternative method. The results demonstrate that the approach adopted in this study is effective for selecting the optimal scheme for developing a hydropower station sustainably, which can provide a reference for the establishment and evaluation of sustainability assessment systems for future hydropower development.

Evaluation and Selection of Integrated Energy System Construction Scheme Equipped with Smart Energy Management and Control Platform Using Single-Valued Neutrosophic Numbers

Since application of integrated energy systems (IESs) has formed a markedly increasing trend recently, selecting an appropriate integrated energy system construction scheme becomes essential to the energy supplier. This paper aims to develop a multi-criteria decision-making model for the evaluation and selection of an IES construction scheme equipped with smart energy management and control platform. Firstly, a comprehensive evaluation criteria system including economy, energy, environment, technology and service is established. The evaluation criteria system is divided into quantitative criteria denoted by interval numbers and qualitative criteria. Secondly, single-valued neutrosophic numbers are adopted to denote the qualitative criteria in the evaluation criteria system. Thirdly, in order to accommodate mixed data types consisting of both interval numbers and single-valued neutrosophic numbers, the TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method is extended into a three-stage technique by introducing a fusion coefficient μ. Then, a real case in China is evaluated through applying the proposed method. Furthermore, a comprehensive discussion is made to analyze the evaluation result and verify the reliability and stability of the method. In short, this study provides a useful tool for the energy supplier to evaluate and select a preferred IES construction scheme.

Selection of geophysical methods based on matter-element analysis with analytic hierarchy process

The selection of the most appropriate method(s) for a specific engineering geophysical site characterisation can be challenging due to the complexity and potential ambiguity of the factors influencing the utility and cost-effectiveness of the methods. This paper, using matter-element analysis techniques with analytic hierarchy process (AHP), proposes a demonstration matter-element model for selecting the most appropriate geophysical methods, and establishes the general flow and calculation process for geophysical method selection. On the basis of the analysis of the factors influencing the utility and cost-effectiveness of geophysical methods, an evaluation criteria system is constructed. To demonstrate the application of this process, the proposed matter-element geophysical methods selection mode is applied to the selection of geophysical methods for an engineering geophysical site characterisation project that ultimately involved the acquisition of electrical resistivity tomography (ERT), multichannel analysis of surface wave data (MASW) and ground penetrating radar (GPR). The optimal results, based on the matter-element model, indicate the recommended geophysical methods are consistent with the field methods ultimately employed. The research proposes a new quantitative and objective computing approach to the selection of geophysical methods. The matter-element model can minimise subjective influences to a certain extent, and is conducive to enhancing the utility and cost-effectiveness of a geophysical survey.

Evaluation of energy management system for regional integrated energy system under interval type-2 hesitant fuzzy environment

Selecting an energy management system for regional integrated energy system (EMS-RIES) is essential to improve energy management. But there lacks an EMS-RIES selection research. Meanwhile, some main issues, such as information loss, criteria interaction, properties of criteria, and risk preference, can influence the decision precision largely and have not been handled together in current decision researches. To fill these gaps, this study develops an integrated decision framework. Firstly, an evaluation criteria system is established from five dimensions. Secondly, double uncertainties on the degree of impact between criteria and criteria performances of each alternative are depicted by credibility-based hesitant fuzzy linguistic term set to reduce information loss. Thirdly, a combination weight method is used to determine criteria weight and interaction between criteria are investigated. Then, a cumulative prospect theory modified PROMETHEE II model considering properties of criteria and risk preference simultaneously is applied to rank the alternatives. Finally, a case study verifies the feasibility and practicability of the developed framework, and the final performances of alternatives are influenced by weight changing, properties of criteria, and risk preference. Furthermore, the comparative analysis shows that the proposed model has superiority to reveal the differences between alternatives due to its big distinction degree.

Probabilistic Hesitant Fuzzy Methods for Prioritizing Distributed Stream Processing Frameworks for IoT Applications

Distributed stream processing frameworks (DSPFs) are the vital engine, which can handle real-time data processing and analytics for IoT applications. How to prioritize DSPFs and select the most suitable one for special IoT applications is an open issue. To help developers of IoT applications to solve this complex issue, a novel probabilistic hesitant fuzzy multicriteria decision making (MCDM) model is put forward in this paper. To characterize the requirements for large-scale IoT data stream processing, a novel evaluation criteria system including qualitative and quantitative criteria is established. To accurately model the collective opinions from skilled developers and consider their psychological distance, the definition of probabilistic hesitant fuzzy sets (PHFSs) is used. To derive the importance degrees of criteria, a novel probabilistic hesitant fuzzy best-worst (PHFBW) method is proposed based on the score value. To prioritize the DSPFs and choose the most suitable one, a novel probabilistic hesitant fuzzy MULTIMOORA method is put forward. Finally, a practical case composed of four Apache stream processing frameworks, namely, Storm, Flink, Spark, and Samza, is studied. The obtained results indicate that throughput, latency, and reliability are considered to be the three most important criteria, and Flink is the most suitable stream framework.

Integrative principles and criteria for implementation of faecal sludge management in Russian Federation

Faecal sludge management (FSM) is an organized program that allows regularly to collect, transport, process and utilize faecal sludge as biological waste. A faecal sludge management in settlements in Russian Federation is so bad organized or only partially exist. There are significant gaps as well as general understanding of institutional roles and responsibilities at national, state and city levels. Planning should be done in a temporal and spatial context. Сities, while maintaining short-term stability, will be guided by the goals of a long-term vision of creation. Planning system of faecal sludge management in Russian Federation that involves these blocks: regulatory framework, selection of best available techniques (BAT), financing and planning mechanisms, is analyzed. Integrated approach to the creation and regulation of a faecal waste management are shown. For implementation such approach, a system of evaluation criteria is required in order to determine the end product and, accordingly, determine development direction of this industry in the geographical area where this system will operate.

Risk assessment of electricity transmission and distribution tariff regulation for power grid enterprises based on best-worst method and cloud model

The electricity transmission and distribution tariff policy of the second supervision cycle in China has formulated a much better electricity transmission and distribution tariff supervision system. In this context, the research on the risk related to electricity transmission and distribution tariff regulation faced by power grid enterprises is helpful for power regulatory agencies and business operators to identify and avoid risks in time and promote the sustainable development of electric power industry. Firstly, the risk evaluation criteria system is established. Secondly, a risk evaluation model based on the best and worst method (BWM) and cloud model for electricity transmission and distribution tariff regulation is proposed. Finally, the risk level of power transmission and distribution tariff regulation faced by four provincial power grid enterprises is evaluated. The validity and practicability of the proposed model in this paper are proved by the empirical analysis.