THE CLASSIFICATION OF UNCERTAINTY OF THE KEY FACTORS PRICING IN TOURISM SPHERE

AbstractThe importance of considering disturbance factors in the product development process is often emphasized as one of the key factors to a functional and secure product. However, there is only a small number of tools to support the developer in the identification of disturbance factors and none of them yet ensures that the majority of occurring disturbance factors is considered. Thus, it is the aim of this contribution to provide a tool in form of a control list for the systematic identification of disturbance factors. At the beginning of this contribution, the terms “disturbance factor” and “uncertainty” are defined based on a literature review and different approaches for the classification of uncertainty are presented. Subsequently, the fundamentals of multipole based model theory are outlined. Moreover, a first approach in terms of a control list for a systematic identification of disturbance factors is discussed. Based on the discussed approach and taking the identified weaknesses as a starting point, a control list is presented that combines the existing basic concept of the control list with the fundamentals of multipole based model theory.

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Small Bowel Obstruction

AACN Advanced Critical Care ◽

10.4037/15597768-2010-2009 ◽

2010 ◽

Vol 21 (2) ◽

pp. 187-194

Author(s):

Colleen Trevino

Keyword(s):

Small Bowel ◽

Physical Examination ◽

Surgical Intervention ◽

Signs And Symptoms ◽

Bowel Ischemia ◽

Key Factors ◽

The Past ◽

Factors Influencing ◽

Imaging Response

Strategies for the management of small bowel obstructions have changed significantly over the years. Nonoperative medical management has become the mainstay of treatment of many small bowel obstructions. However, the key to the management of small bowel obstructions is identifying those patients who need surgical intervention. Identification of those at risk for bowel ischemia and bowel death is an art as much as it is a science. Using the current literature and the past knowledge regarding small bowel obstructions, the clinician must carefully identify the signs and symptoms that suggest the need for operative intervention. Classification of the obstruction, history and physical examination, imaging, response to decompression and resuscitation, and resolution or progression of symptoms are the key factors influencing the management of small bowel obstructions.

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La evolución de la bóveda maya a través de la forma de las dovelas

Estudios de Cultura Maya ◽

10.19130/iifl.ecm.55.2020.0003 ◽

2020 ◽

Vol 55 ◽

pp. 65-87

Author(s):

Laura Gilabert Sansalvador

Keyword(s):

Comparative Analysis ◽

Temporal Evolution ◽

Technological Evolution ◽

Key Factors ◽

Technical Developments ◽

Maya Architecture ◽

Different Types

Over more than ten centuries, Maya vaults had great technical developments that allowed to achieve constructive and structural advanced systems and increasingly improved forms. One of the key factors to consider when studying its temporal evolution and the different regional variants is the stone vaults shape. This work is based on data collected during fieldwork and comparative analysis of a wide sample of vaults from different geographical zones and chronological periods, and as a result proposes a classification of the Maya stone vaults. The study of the influence of stereotomy on its form and the analysis of the use of different types of stone vaults by zones offer new data to understand the technological evolution of vaulted Maya architecture and the transfers of building knowledge.

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Research on Quantitative Assessment Method of Power Transformer Supervision Based on Extensible Theory

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.644-650.2587 ◽

2014 ◽

Vol 644-650 ◽

pp. 2587-2590

Author(s):

Yu Qin Xu ◽

Xiang Ling Zhan ◽

Zheng Ren ◽

Tong Li ◽

Guo Hua Qiao ◽

...

Keyword(s):

Quantitative Evaluation ◽

Evaluation System ◽

Quantitative Assessment ◽

Power Transformer ◽

Assessment Method ◽

Key Factors ◽

Quantitative Classification ◽

Element Theory

The quantitative classification of transformer supervision can improve the quality of transformer supervision. For the contents of transformer supervision, this paper establishes an index system of transformer supervision. Example results show that the extension matter-element theory which is applied to transformer supervision quantitative evaluation is more reasonable. According to the categories of transformer supervision, this paper quantifies the uncertainty and builds the evaluation system of transformer supervision. It realizes the evaluation of transformer supervision and gets the key factors which influence the transformer supervision. This evaluation system is conducive to guide the transformer supervision to be more scientific and effective.

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Majority values of school biological education in the context of education for sustainable development

E3S Web of Conferences ◽

10.1051/e3sconf/202016610029 ◽

2020 ◽

Vol 166 ◽

pp. 10029

Author(s):

Elena Komarova ◽

Tatiana Starova

Keyword(s):

High School ◽

Sustainable Development ◽

Biology Teacher ◽

Key Factors ◽

Biology Teachers ◽

Terminal Values ◽

Instrumental Values ◽

The Subject ◽

Biological Education

The idea of the study is that the value potential of the subject is a fundamental element of the knowledge system as part of the realization of the idea of sustainable development in education. The basis of the study used the classification of value categories proposed by Milton Rokeach in 1979. We found that in the main school, the content of the subject “Biology” is primarily aimed at forming ideas about terminal values – “life”, “health”, “nature”; in high school – about terminal values “life”, “health”, as well as instrumental values – “perseverance”. The value ideas of a biology teacher are one of the key factors in the formation of students’ value ideas. In the structure of value representations of biology teachers, the three leaders are orientations towards terminal values. We have put forward the assumption that there is a dissonance between the value ideas of respondents and the values that the school biology course is aimed at forming an idea about.

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Comparison and Classification of World Economies by E-Commerce Level

Russian Foundation for Basic Research Journal Humanities and social sciences ◽

10.22204/2587-8956-2019-096-03-75-86 ◽

2019 ◽

pp. 75-86

Author(s):

Марина Архипова ◽

Marina Arhipova ◽

Елена Ямбуренко ◽

Elena Yamburenko

Keyword(s):

Global Economy ◽

Key Factors ◽

Governmental Organizations ◽

Non Governmental Organizations ◽

National Welfare ◽

Digital Commerce ◽

Political Communities ◽

Intuitive Method ◽

National Economies

The fast-paced digitalization of the global economy takes place along the growing importance and share of e commerce in the global trade. International organizations and governments consider e commerce a potential driver of economic growth and improvements in the national welfare, as well as a smart tool for overall catch-up effect. However, there is little agreement among the todays’ academic and political communities about any factors that are key to the development of digital commerce and better ways helping to tackle political and regulatory issues that affect it. Researchers aim at comparing and classifying national economies by the level of e commerce with due regard to the main aspects of their functioning, as well as testing the hypothesis that the level of digital commerce varies significantly by the world economies driven by different key factors in the formation of the digital economy. The research methods are goal-dependent and relate to benchmarking performed using multidimensional classification of objects under study, in particular, using agglomerative hierarchical algorithms. Interpreting outcomes involves the logical-intuitive method of generalizing and concluding. The findings of this study are of interest to international and national governmental and non-governmental organizations driving the global, regional and/or national economies, and can serve as a springboard for further research using the insights obtained in the course of this project.

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An effective method for identifying the key factors of railway accidents based on the network model

International Journal of Modern Physics B ◽

10.1142/s0217979220501921 ◽

2020 ◽

Vol 34 (20) ◽

pp. 2050192

Author(s):

Keping Li ◽

Yu Pan

Keyword(s):

Network Model ◽

Propagation Model ◽

Key Factors ◽

Sis Model ◽

Causal Factors ◽

Proposed Model ◽

Key Factor ◽

Railway System ◽

Key Nodes

In the analysis of railway accidents, the identification of key factors is an essential step for effective monitoring and daily maintenance of railway system. The existing key factor identification methods are generally based on the importance of ranking, which cannot achieve effective identification and verification because the classification of accident causal factors is not considered. Based on the complex network model, this paper proposes a heterogeneous network model which is suitable for the classification of accident causal factors to find the key causal factors of railway accident. The proposed model considers the causal factors of different types of railway accidents separately. Here, the accident causal factors are taken as the nodes, and their relationships are considered as the edges. The key factors will be determined through the extraction of the key nodes. Furthermore, an improved SIS propagation model is used to verify the effectiveness of the proposed method. Because of the strong network heterogeneity, it is proved that the proposed method is suitable for finding the key nodes in heterogeneous networks. Morever, the results show that the key nodes found by using the proposed method have more important impacts due to their faster propagation in the SIS model.

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Classification of Different Blueberry Cultivars by Analysis of Physical Factors, Chemical and Nutritional Ingredients, and Antioxidant Capacities

Journal of Food Quality ◽

10.1155/2020/9474158 ◽

2020 ◽

Vol 2020 ◽

pp. 1-9

Author(s):

Juan Song ◽

Qiong Shi ◽

Si-Min Yan ◽

Hai-Yan Fu ◽

Si-Zhan Wu ◽

...

Keyword(s):

Supervised Classification ◽

Particle Swarm Optimization Algorithm ◽

Principal Component ◽

Physical Parameters ◽

Physical Factors ◽

Quality Indices ◽

Quality Factors ◽

Key Factors ◽

Nutritional Components

Blueberry fruits of different cultivars are featured with different quality indices. In this work, three types of quality factors, including 6 physical parameters, 12 chemical and nutritional components, and 3 antioxidant indices, were measured to compare and classify blueberry fruits from 12 different cultivars in China. Using the autoscaled data of quality factors, unsupervised principal component analysis was performed for exploratory analysis of intercultivar differences and the influences of quality factors. A supervised classification method, partial least squares discriminant analysis (PLSDA), was combined with the global particle swarm optimization algorithm (PSO) and two multiclass strategies, one-versus-rest (OVR) and one-versus-one (OVO), to select discriminative quality factors and develop classification models of the 12 cultivars. As a result, OVO-PLSDA with 8 quality factors could achieve the classification accuracy of 0.915. This study will provide new insights into the quality variations and key factors among different blueberry cultivars.

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The Sensitivity of Water Environmental Factors on Eutrophication Based on Rough Set Theory and the Ecological Countermeasures Revelation

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.531.446 ◽

2012 ◽

Vol 531 ◽

pp. 446-450

Author(s):

Xian Xiang Luo ◽

Juan Zhang ◽

Long Jun Zhang

Keyword(s):

Environmental Factors ◽

Set Theory ◽

Rough Set ◽

Rough Set Theory ◽

River Estuary ◽

Laizhou Bay ◽

Key Factors ◽

Ecological Measurement ◽

Xiaoqing River Estuary

The paper took advantage of approximate classification of imprecise or incomplete data to analyze and assess the sensitivity of environmental factors on eutrophication based on rough set theory. Its main advantage was it performed rationally on data attributes reduction and classification. This technique provided a valuable tool to analyze the key factors leading to eutrophication in Xiaoqing River estuary of Laizhou Bay in China. Results showed that the most important factors that dominated the eutrophic degree were aerobiotic organic compound, dissolved inorganic phosphate and nitrogen which came from the land-input of Xiaoqing River. Then the ecological measurement against eutrophication may be to cultivate a kind of ecological environment materials (e.g. seaweed) to absorb the excessive nutrition.

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