Masterarbeit, 2011
76 Seiten, Note: 8
1. Decision’s essence
1.1. Decision under uncertainty
1.2. Analysis of a particular decision
1.3. Correct question
2. How reading skills influence comprehension of text
3. Possible solutions of remote identification
3.1. Identification systems
3.1.1. Comparison of BIS and FRS identification systems
4. Morphological analysis
4.1. The author’s research-morphological analysis and decision taking
5. Results of the author’s research
6. Conclusions
7. Suggestions
The research aims to identify and analyze factors that reduce risk during decision-making processes within the immigration service, specifically focusing on the intersection of human reading comprehension, logical decision-making frameworks, and technical identification systems.
1. DECISION’S ESSENCE
Each decision deliberately taken is always a choice from variety of possible decisions. Each decision, in its turn, brings consequences: positive or negative. If these consequences are known in advance, the tactic is very simple — to choose the decision which will lead to the targeted results or consequences. Unfortunately, it is not always possible to predict consequences of the decision taken.
According to the decision theory, various options we choose are called alternatives. So, if the decision “A is better than B, and B is better than C, then logically that “A is better than C” (33, 13). These alternatives may also be expressed by numbers or by words, such as if we „ assign to A the value 15, to B the value 13 and to C the value 7” and since “A has a higher number than either B or C, A should be chosen." (33, 13)
Even if the best decision has been taken, it can be hard to prove or express in numbers its quality or value. For example the expression “A is better that B” is “binary relation” (33, 14) because it is impossible to define how much A is better then B? Another good example could be “a cup of coffee and sugar”. For example there are 1000 cups of coffee where “C0 –cup has no sugar, C1 – one grain of sugar, up to C999 !” (33, 19) A man drinking coffee from both cups C0 , C1 „can not taste the difference” (33,19) in one granule and the coffee in both cups will taste for him as without sugar. The opposite situation will occur when comparing coffee from cups C0, C1 with the cup C999. In the latter case Hoffman will be able to feel the sugars and “clearly taste the difference” (33, 19). Clearly there exists some sensitivity threshold - Cx which depends on the number of sugar granules. If there are less than x sugar granules in the cup the person will not distinguish its presence and will consider such coffee without any sugar and vice versa.
1. Decision’s essence: Explores the fundamentals of decision-making, the impact of uncertainty, and the use of logical frameworks to evaluate alternatives.
1.1. Decision under uncertainty: Discusses how decisions are made when outcomes cannot be fully predicted and introduces tools like decision trees for organization.
1.2. Analysis of a particular decision: Focuses on the mathematical assessment of risk factors by correlating probability and potential impact.
1.3. Correct question: Argues that unstructured problem-solving is a primary cause of failure and advocates for the use of "smart questioning" techniques.
2. How reading skills influence comprehension of text: Analyzes the direct correlation between reading ability and the effective comprehension of legal and procedural documents.
3. Possible solutions of remote identification: Examines the challenges and reliability of face recognition versus biometric systems in a law enforcement context.
3.1. Identification systems: Compares the technological performance of different identification methods and the necessity of managing error rates.
3.1.1. Comparison of BIS and FRS identification systems: Details the advantages and disadvantages of Face Recognition Systems (FRS) versus Biometric ID Systems (BIS).
4. Morphological analysis: Introduces graphical methods for structuring and solving complex problems by arranging components in a matrix.
4.1. The author’s research-morphological analysis and decision taking: Demonstrates how morphological matrices can be applied to streamline administrative decisions in the immigration service.
5. Results of the author’s research: Presents empirical data from surveys and experiments concerning the reading habits, decision-making performance, and interchangeability of border guard officials.
6. Conclusions: Synthesizes the paper's findings, highlighting the necessity of adapted materials to overcome reading skill deficits and the effectiveness of systematic decision support.
7. Suggestions: Offers practical recommendations for improving operational efficiency through training, software implementation, and structural document adaptation.
Decision-making, Risk assessment, Immigration service, Reading comprehension, Biometric identification, Morphological analysis, Decision tree, Probability theory, Law enforcement, Operational instructions, Systematization, Error rates, Border control, Administrative procedures, Data adaptation.
The paper focuses on identifying factors that reduce risk during decision-making within the immigration service, exploring how systematic approaches can improve both the speed and quality of official decisions.
The main themes include decision-making theory, risk analysis, the impact of declining reading skills on the comprehension of legal texts, and the integration of technical tools like decision trees and biometrics in law enforcement.
The primary aim is to distinguish the factors that decrease risks during decision-making and to demonstrate how systematization—through decision trees and morphological analysis—reduces the probability of incorrect decisions.
The author employs theoretical analysis of legal and technical references combined with practical research methods, including observational studies, surveys, and controlled experiments involving border guard officials.
The main body covers the essence of decision-making under uncertainty, methods to improve text comprehension through adaptation, a detailed comparison of biometric vs. face recognition systems, and the application of Zwicky's morphological analysis to administrative processes.
Key terms include decision-making, risk assessment, morphological analysis, biometrics, immigration service, and operational efficiency.
The "r*" value represents the "golden mean" or optimal threshold for similarity in face recognition. The author determines this through a survey of border guards, who defined a 78% correlation as the threshold for considering a person identical to a suspect.
The "net generation" refers to contemporary individuals who increasingly rely on short, interactive, and visually oriented texts, leading to a gradual atrophy of reading skills and difficulty in comprehending complex legal documents.
The author argues that because complex legal texts are often poorly arranged or beyond the current reading proficiency of some officials, simplified "decision trees" and "morphological tables" are necessary to ensure correct, rapid, and compliant decision-making.
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