Evaluation of Risks Related to Transfer of Rural Housing Land for Tourism Development in the Context of “Separation of Three Rights” Reform in China

In this paper, based on a field survey on typical villages in a Chinese metropolis suburb, we employ a risk matrix and the Borda ranking method to evaluate risks related to transfer of rural housing land for tourism development from the perspectives of different stakeholders. We also make suggestions regarding how to standardize transfers and revitalize utilization of rural housing land use rights. Combining qualitative analysis and quantitative analysis, the risk matrix determines the various risk levels faced by different stakeholders in the circulation of rural housing land for tourism development from two dimensions: risk impact degree and risk occurrence probability. Then, the Borda ranking method can subdivide the risk types within each risk level, thus identifying the most critical risks. Our results indicate that (1) unfair distribution of income from land transfers is the major risk faced by farm households and directly decides their willingness to transfer their housing land; (2) market instability is the prime risk factor faced by social investors, and together with project progress risk, indirectly leads to occurrence of operation risk and severely affects the motivation of social investors to invest in transfer, development and operation of rural housing land for tourism development; (3) disappearance of countryside characteristics is the critical risk factor faced by village collectives, and coordination and management risk is the main impediment that blocks the process of transfer of rural housing land for tourism development; and (4) other risks confronted by stakeholders in land transfer, although not the main ones, still need to be granted great importance and followed up closely. Therefore, it is necessary not only to establish appropriate risk avoidance measures for different critical risk factors faced by different stakeholders of such land transfers, but also to strengthen study of the association between the risks, identify the conduction effect of direct and indirect risks, macro and micro risks, and before action and after action risks, and improve the ability to prevent and mitigate these risks.

A Multimodal Retrieval and Ranking Method for Scientific Documents Based on HFS and XLNet

Aiming at the defects of traditional full-text retrieval models in dealing with mathematical expressions, which are special objects different from ordinary texts, a multimodal retrieval and ranking method for scientific documents based on hesitant fuzzy sets (HFS) and XLNet is proposed. This method integrates multimodal information, such as mathematical expression images and context text, as keywords to realize the retrieval of scientific documents. In the image modal, the images of mathematical expressions are recognized, and the hesitancy fuzzy set theory is introduced to calculate the hesitancy fuzzy similarity between mathematical query expressions and the mathematical expressions in candidate scientific documents. Meanwhile, in the text mode, XLNet is used to generate word vectors of the mathematical expression context to obtain the similarity between the query text and the mathematical expression context of the candidate scientific documents. Finally, the multimodal evaluation is integrated, and the hesitation fuzzy set is constructed at the document level to obtain the final scores of the scientific documents and corresponding ranked output. The experimental results show that the recall and precision of this method are 0.774 and 0.663 on the NTCIR dataset, respectively, and the average normalized discounted cumulative gain (NDCG) value of the top-10 ranking results is 0.880 on the Chinese scientific document (CSD) dataset.

Investigations on the Source Material of Oat Seeds, Avena sativa through the Multidimensional Ranking Method in Natural Conditions of Yakutia, Siberia, Russia

Eighty-three collection samples of oat seeds (Avena sativa L.) of various ecological, geographical, and breeding origins were studied in the conditions of Central Yakutia during 2017-2019 by the method of multidimensional ranking according to six economically valuable characteristics, namely, the duration of the growing season, grain yield, grain weight from the plant and panicles, the weight of 1.000 grains, and yielding tillering capacity. According to the results of the multidimensional ranking, the varieties were divided into three groups: the best, average, and worst. At that, from the data entered for 83 samples, the program determined priorities based on a combination of the duration of the growing season and yield. The group of best samples, based on a combination of economically valuable features, included 63% of samples from Europe, 30% from Russia, and 7% from Asia. The main share in the average group was made up of samples from Europe (63%), Russia (33%), and Asia (4%). The local zoned variety – Pokrovsky standard is included in the average group with a rank limit of 118.8. The worst group included the most samples from Europe (41%), Russia (26%), America (26%), Africa (3.7%), and Asia (3.7%). According to the precocity, 11 samples were identified that ripened earlier than the standard by 7-11 days. These are K-15062 (Omsk Region), K-15108 (USA), K-15111 (Colombia), K-15184 (Kemerovo Region), K-15191 (Slovakia), K-15357 (Norway), K-15375, K-15416, K-15418 (Germany), K-15392 (Sweden), and K-15408 (Belarus). Samples with high grain yield were included in the group of the best varieties. Among the selected varieties, cultivars K-15293 from Poland and K-15415 from Germany had the most stable yield over the years

CLUSTERING OF BANKS ACCORDING TO THEIR BUSINESS MODELS

The business models of banks were identified according to previously formed parameters. The authors distinguished business models of Ukrainian banks such as retail, universal, corporate, corporate with retail financing. The paper studies ranking method to analyze and compare banks business models in terms of financial and risk indicators.

Urban Stormwater Resilience Assessment Method Based on Cloud Model and TOPSIS

To scientifically and quantitatively evaluate the degree of urban storm resilience and improve the level of urban stormwater resilience, based on the resilience theory, starting from the three attributes of resilience (resistance, recovery and adaptability), this paper establishes the framework of urban resilience evaluation indicator system under the background of stormwater disaster. Firstly, the weight of the indicator system is analyzed by the Delphi method and cloud model, and then the urban stormwater recilience evaluation model is constructed by using the cloud model and approximate ideal solution ranking method. Through the fuzzy description, the corresponding quantitative value is given to the qualitative indicator, so that the stormwater resilience of the city can be measured by accurate values. Finally, the feasibility of the model is verified by case analysis. The results show that the urban stormwater resilience evaluation theory and method based on cloud model and approximate ideal solution ranking method have important guiding significance to improve the level of urban stormwater resilience.

Prospect of double cropping of rainfed rice in West Bengal

The prospect of double cropping of rain fed rice in West Bengal has been studied in two agroecological conditions (Canning, located in coastal saline region and Nagri, located in Red lateritic region) by identifying growing season through the analysis of rainfall data. The rainfall data of these locations have been analysed for dry and wet weeks by assuming a dry threshold value of 20 mm per week. Wet and dry weeks have been subjected to Markov Chain probability analysis and periods of ideal sowing have been determined. Rainfall data has also been accumulated from 1st week (1- 7 Jan) onwards, and 52nd week (24- 31 Dec) backwards and by subjecting it to ranking method, growth periods of dry and wet crops have been determined. The study reveals that generally from 24th to 37th week (11 Jun-16 Sep) the probability of getting wet weeks exceeds 15% and probability of two consecutive dry weeks is negligible from 20th to 38th week (14 May - 23 September) for both the statistics. It is also found that harvesting two rice crops of shorter duration is feasible during the growing period covering pre-monsoon and monsoon season.

Evaluation of Transfer Efficiency between Subway and Bus Based on the Interval Number Ranking Method by Employing Probability Reliability: Taking Ningbo for Example

In recent years, the construction and operation of urban subways have been gradually increasing in developing countries. In the next step, more attention should be paid to the transfer efficiency between subway and bus so as to improve the travel efficiency of more urban residents. This paper uses the probability credibility interval number ranking method to evaluate the bus transfer efficiency. Firstly, this study obtains the dynamic transfer time data by matching individual smart card and subway/bus global positioning system (GPS) records, which is used to evaluate the transfer efficiency of corresponding subway stations. Then, we establish a probability density function to represent the characteristic information of transfer time. Accordingly, the probability reliability model of the order relation of interval numbers can be constructed. In the end, the method is applied to evaluate the transfer efficiency between subway and bus stations in Ningbo. Compared to the traditional interval number ranking method, the evaluation result shows that this method can get a more objective transfer efficiency order relation. The reason is that this method can not only consider the random feature of transfer time but also make use of the data distribution characteristics. This method could be applied to obtain the stations with relatively low transfer efficiency and the feedback can be used for bus line operation and station layout improvement.

Behavioral Risky Multiple Attribute Decision Making with Interval Type-2 Fuzzy Ranking Method and TOPSIS Method

Considering the decision maker’s psychological state will influence their evaluation result in the risky multi-attribute decision-making problem, and the uncertainty of evaluation information. In this paper, we will propose a behavioral risky multiple attribute decision making with interval type-2 fuzzy ranking method and TOPSIS method. The interval type-2 fuzzy set is used to express the uncertainty of evaluation information, the prospect theory is applied to describe people’s psychological state in the processing of risk decision making. First, we define a new ranking method for interval type-2 fuzzy set to compare the interval type-2 fuzzy evaluation information and the expectation. Second, we give a relative distance for interval type-2 fuzzy set to get the distance between the interval type-2 fuzzy evaluation information and expectation. Third, we use the prospect theory, the new defined ranking method and the new defined distance formula to obtain the comprehensive prospect value. Fourth, we use the improved TOPSIS method and the comprehensive prospect value to rank the alternatives. Based on the above-mentioned steps, we give the solution for risky interval type-2 fuzzy multiple attribute decision-making problem, which named as the behavioral risky multiple attribute decision making with interval type-2 fuzzy ranking method and TOPSIS method. Finally, we use an example to show the rationality of this method.

Multi-Dimensional Sport Physique Evaluation and Ranking for Healthcare Based on TOPSIS

Typically, through monitoring, collecting, integrating and analyzing the sport scores of individuals, we can know about the sport physique of the individuals in a real-time manner, so as to further guarantee a high-quality health level of people. However, in the abovementioned sport scores-based sport physique monitoring scenario, two major challenges are raised. First, the collected sport scores for sport physique monitoring are often multi-dimensional, which make it hard to evaluate the sport physique of individuals fairly and reasonably. Moreover, the multiple dimensions of sport scores are often of different weights or significances, which raise a challenging task to objectively evaluate the sport physique of an individual. Considering these challenges, a novel multi-dimensional sport physique evaluation and ranking method, named MSPER, is proposed in this research work for better healthcare for individuals, which is based on the TOPSIS theory. At last, a case study is presented to show the concrete procedure of MSPER method.