Chaotic Modeling Design of LOCKSS Digital Resources Based on Neural Network Model

2014 ◽  
Vol 608-609 ◽  
pp. 114-118
Author(s):  
Xiu Fang Jin

Along with the continuous deepen reform of education, now the college education has received widespread attention from the social. Most of the literature focuses on college curriculum, class analysis, the article from a different perspective, based on multi-value theory, analysed teachers' teaching characteristic and condition under the multi-value, and combined into the actual university research, by combining theory and practice. Regard university classroom teaching as the analysis object, and combined with the multiple value theory in teaching research, constructs the teachers' teaching model under multi-value characteristics, combining to the analytic hierarchy process to analyze data, to better guide the ceaseless aggrandizement of plural value consciousness, change and strengthen from various factors, enrich teaching methods, so as to stimulate students' interest in learning, improve teaching efficiency.

2017 ◽  
Vol 21 (3) ◽  
pp. 318-329 ◽  
Author(s):  
Zenonas TURSKIS ◽  
Zydrune MORKUNAITE ◽  
Vladislavas KUTUT

Cultural heritage item preservation, renovation and adaptation to the social needs of people, as well as their passing from generation to generation, is a problem relevant from economic, historical, archeological, religious, technological, research and other perspectives. They are typical strategic multi-criteria decision-making problems. The state institutions and the owners and managers of the heritage items invest in their preservation. In fact, every country has a great number of the registered heritage structures. To ensure their effective management and renovation, a lot of implementation projects and strategies should be developed and evaluated. This work requires large investments and time. The paper presents a hybrid model developed for ranking the heritage buildings intended for renovation according to their value. The model for problem solution based on integrated using two MCDM methods Analytic Hierarchy Process and EDAS. A set of the criteria for evaluating the projects, concerning the renovation of cultural heritage items defined.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Milad Abbasi ◽  
Mohammad Reza Monazzam ◽  
Hossein Arabalibeik ◽  
Mansour Shamsipour

PurposeThe purpose of the study was to identify and weight the dimensions and indicators of individual job performance (IJP).Design/methodology/approachTo identify dimensions and their measuring indicators, a literature review was conducted in PubMed, Embase™, ProQest, Scopus®, Web of Science™ and Google Scholar. Based on the results of the literature review and consensus among the research team, dimensions and measuring indicators were identified and an IJP framework was constructed. For weighting dimensions and indicators, fuzzy analytical hierarchy process (FAHP) and fuzzy Delphi technique (FDT) were conducted, respectively.FindingsBased on the results, the conceptual framework showed that IJP consisted of four dimensions as follows: task performance (TP), contextual performance (CP), counterproductive work behaviors (CWBs) and adaptive performance (AP). The results of FAHP showed that TP (0.358) had the highest weighting in measuring IJP. The weight of CWBs, CP and AP was 0.302, 0.244 and 0.096, respectively. The results showed that 102 indicators were identified to measure the dimensions. Using the FDT, 45 indicators were accepted and 57 were rejected. Of the accepted indicators, 12 indicators belonged to TP. In addition, 11, 12 and 10 belonged to CP, CWBs and AP, respectively.Research limitations/implicationsThe results of the article can be useful in research and practice and bridge the gap between theory and practice. In the research area, the researchers can use this model to develop questionnaires for evaluating IJP in all occupations. The researchers can choose the most effective dimensions or indicators in accordance with the corresponding occupation. Moreover, the results can be used in practice (economic and commercial impact), teaching, influencing public policy and helping to establish a more complete knowledge system.Originality/valueIn order to select dimensions and their measuring indicators, the work in the study took the unique approach to employ powerful decision-making methods combined with fuzzy methods to remove any ambiguity in opinions.


2014 ◽  
Vol 584-586 ◽  
pp. 2193-2198
Author(s):  
Gui Mei He ◽  
Yi Yang

Highway as a significant part of social infrastructure affects the interests of all social aspects during construction and thus will bring about social instability risks. In this paper, the social instability risks from Jianli-Jiangling Highway project were identified and evaluated using fuzzy analytic hierarchy process. The results will promote science-based decision-making and careful use of preventive measures, and thus ensure the evaluated project can be smoothly implemented. This study will provide some references for similar projects in the future.


2014 ◽  
Vol 543-547 ◽  
pp. 4273-4277
Author(s):  
Yi Lu ◽  
Zhao Ji ◽  
Hong Jie Liu

With the reduction of land resources, it has become the main content of current city construction that how to exert the most economical benefit with the limited resources. This paper establishes the economic, social and ecological evaluation index system of benefit of urban land resource use and also quantifies it. It uses the analytic hierarchy process (AHP) and the entropy value method to determine the index weights, and applies Cobb-Douglas production function into the estimation of land production. Moreover, it also concludes that the social, economic and ecological influences must be considered in the evaluation of benefit of land resource use through the data analysis.


2011 ◽  
Vol 224 ◽  
pp. 17-23
Author(s):  
Hong Zhang Zhu ◽  
Ji Bo Hu

The partnering mode is a scientific, high efficient method in project management. Correctly choosing the partners is the key to success. In this article, we use non-structural fuzzy decision method to evaluate proposals. This method is employed in order to solve the problem of multi-target selection. And it helps to compensate the limitations derived from analytic hierarchy process (AHP Method) and multi-elemental value theory. In a comparing process, 15 indexes are evaluated to select the most qualified proposal from 4 contractors. This method, in some extent, provides a reference to the proprietor in the choosing of the chief contractor.


2022 ◽  
Vol 13 (1) ◽  
pp. 383
Author(s):  
José-María Lamirán-Palomares ◽  
Amparo Baviera-Puig ◽  
Tomás Baviera

Fans of niche sports generally find minimal content in mainstream media due to their limited audience. Instead, social media offers them the opportunity to follow these specific sports. The dynamics behind digital media are based on individual participation, hence some prominent users lead the social conversation thanks to their capacity to influence. However, the complexity of the concept of influence and the existence of multiple parameters for its measurement make it difficult to identify these key users. Our research proposes a measure of the influence on Twitter based on variables derived from the platform (number of tweets, number of retweets, and number of followers) and from the Social Network Analysis (outdegree, indegree, and PageRank). The Analytic Hierarchy Process was used to assign a weight to each variable. This measure of influence was applied to the conversation generated on Twitter around a niche sporting event: the 2018 UCI Track Cycling World Championships. From a 19 701-tweet corpus, we identified the 25 most influential users. The results indicate that the organisers and the participating cyclists played a relevant role in the Twitter conversation. In addition, the geographic distribution of these influential users reflects the cultural dependence of niche sports.


2012 ◽  
Vol 23 (4) ◽  
pp. 303-313 ◽  
Author(s):  
Aleksandra Deluka-Tibljaš ◽  
Barbara Karleuša ◽  
Čedomir Benac

The paper deals with the selection of traffic infrastructure facility location by applying the AHP (Analytic Hierarchy Process) multi-criteria analysis methodology. The proposed methodology is applied in a case study to solve the problem of selecting a location for the garage-parking facility in the town of defined characteristics. The paper analyses the characteristics of five potential locations (alternatives), the selection of criteria and measures for assessing the alternatives and presents the input data preparation, the application of the selected method and the analysis results. All the relevant criteria for the analyses were included: the traffic, the economic criteria and those which nowadays are of great significance: the influence of the facility on the environment and the social criteria which is in accordance with the sustainable development principles. The goal of the paper is to present the procedure of the AHP method application on the complex issue of traffic planning and to confirm the adequacy of the chosen method on the traffic facility strategic planning.


Author(s):  
Yingping Wang ◽  
Guang Zheng

Artificial intelligence (AI) has not been widely and deeply implemented in dance teaching of colleges. To solve the problem, this paper identifies the problems with the AI in college education and dance teaching, theoretically discusses the application strategies of the AI in dance teaching of colleges, and demonstrates the promotive effect of AI in college dance teaching. Next, a performance analysis model was established based on fuzzy interval num-ber, grey system theory, and analytic hierarchy process (AHP), and adopted to evaluate the performance of the AI application in college dance teaching. The research results shed a new light on the application of cutting-edge tech-niques in college education.


Author(s):  
Lina Straigytė ◽  
Gunta Čekstere ◽  
Māris Laiviņš ◽  
Vitas Marozas

Abstract Robinia pseudoacacia is an alien tree species that has wide distribution in green areas of Rīga and Kaunas. In recent years, the spread and invasion of this species was observed. The aim of this study was to determine the relative importance of invasiveness of R. pseudoacacia in Rīga and Kaunas. The degree of species invasion was estimated by applying the Pest Plant Prioritization Process, which is based on the Analytic Hierarchy Process method. The results showed that the invasive degree of R. pseudoacacia was near medium (0.4); the present compared to potential distribution rating was medium (0.57) and the social, environmental and economic impact score was very low (0.17). The Final Pest Plant Score for R. pseudoacacia was near medium (0.426). The obtained estimates indicated that black locust was medium invasive, and that well-lit conditions favour its establishment.


Forests ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 497
Author(s):  
Jang-Hwan Jo ◽  
Moongi Choi ◽  
Chang-Bae Lee ◽  
Kyeong-hak Lee ◽  
Oh Seok Kim

This study is aimed to compare the strengths and weaknesses of three approaches—analytic hierarchy process analysis, sentiment analysis, and floating population analysis—in estimating the social demands for local forest ecosystem services (ES) in South Korea: Gariwangsan and Yeoninsan. The results were as follows: First, the survey respondents of Gariwangsan and Yeoninsan believed that the cultural ES category was the most fundamental one that should be maintained, whereas they thought the supporting ES category needed the least maintenance. Second, both forests had a high frequency of sentiment words related to the cultural ES category, followed by the regulating ES category, such as air and water quality improvement. Third, the spatiotemporal distribution of the floating populations in both forests was concentrated in their valleys and mountainous areas, indicating the finer-scale demands for the cultural and regulating ES category. Fourth, the research shows the areas that are high in demand and those that are not; this result helps forest management. In conclusion, none of the three methodologies was superior to the other two, as they each captured distinct ES demands. To investigate ES demands in a multifaceted way, we suggest applying the three approaches in tandem.


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