A Categorical-Generative Theory of Social Processes: About Describing a Complex, Dynamic and Contingent Pattern of Decision-Making Events

Author(s):  
Bruno da Rocha Braga
2017 ◽  
Vol 1 (1) ◽  
pp. 22
Author(s):  
Khairul Saleh

Abstract - In the world of education to achieve the level of success, of course, they have a benchmark for the success of students, one of them is the Grade Point Average (GPA). The purpose of this study is to determine the final GPA so that later it can be used as a reference to predict the success rate of students. The issue of decision-making systems using Fuzzy systems is very suitable for definite reasoning or estimation, especially for systems with strict mathematical models that are difficult to get a definite decision. Fuzzy logic can be used to describe a system of chaotic dynamics, and fuzzy logic can be useful for complex dynamic systems where solutions to common mathematical models cannot work well. The Mamdani method computes efficiently and works well with optimization and adaptive techniques, which makes it very good in control problems, especially for dynamic non-linear systems. Keywords - Cumulative Achievement Index (GPA), fuzzy system, decision making system, mamdani information


Author(s):  
Abdul Haris Rangkuti

Decision making at every company is something very important and vital. Decision making can be influenced by several aspects, so it can affect the promptness and accuracy of the process, especially when solving any complex, dynamic and less structured problems. Therefore, the combination of multiple criteria concept and an application program of decision-support system is an effective way to generate alternative decisions. The methods used for multiple criteria are: Bayes method, MPE, CPI and the AHP. This article discusses the use of each method, adapted to each problem. The four methods happen to be very effective with the help of the application program of decision support system. Expectantly these methods are able to assist company managements in decision-making. 


2014 ◽  
Vol Volume 2 ◽  
Author(s):  
Hasmik Atoyan ◽  
Jean-Marc Robert ◽  
Jean-Rémi Duquet

The utilization of Decision Support Systems (DSS) in complex dynamic environments leads the human operator almost inevitably to having to face several types of uncertainties. Thus it is essential for system designers to clearly understand the different types of uncertainties that could exist in human-machine systems of complex environments, to know their impacts on the operator's trust in the systems and decision-making process, and to have guidelines on how to present uncertain information on user interfaces. It is also essential for them to have an overview of the different stages, levels, and types of system automation, and to know their possible impacts on the creation of different types of uncertainties. This paper investigates these topics and aim at helping researchers and practitioners to deal with uncertainties in complex environments.


2021 ◽  
pp. 62-82
Author(s):  
James Wilson

This chapter argues that the scale of the challenge posed by external validity requires a similarly sizeable response. Not only should practitioners approach evidence collection and interventions in policy differently, but philosophers should also change the way they conceive of ethics. The default should no longer be to start from simplistic causal models or thought experiments, while being dimly aware that these approaches will exclude some features that would be relevant for real-world decision-making. Rather, both practitioners and philosophers should start from the premise that social processes are complex systems. Moreover, complex systems are in important aspects performative: for example, what counts as a breach of trust, or a violation of privacy, is not something that can be discovered once and for all, but is partly constituted by social norms and individual expectations, which will themselves change in response to government action.


2019 ◽  
Vol 33 (6) ◽  
pp. 1039-1057 ◽  
Author(s):  
Andrew Pendleton ◽  
Ben Lupton ◽  
Andrew Rowe ◽  
Richard Whittle

This article compares insights into decision-making and behaviour developed by Kahneman and Tversky in behavioural economics with the main findings from studies of pay incentives in workplace sociology in the middle decades of the 20th century. The article shows how many of the insights offered by behavioural economists, such as loss aversion, were anticipated and considered by the workplace sociologists. It is argued that the sociological studies offer deeper and more convincing accounts of worker behaviour through a better understanding of the role of social structure, context, and social processes in framing and influencing action.


2021 ◽  
Vol 9 (1) ◽  
pp. 226-234
Author(s):  
Elizabeth Koomson-Yalley

This article examines the relationship between irregular migration, access to information and migration decisions. Using semi-structured interviews of thirty irregular return migrants who failed to reach their European destinations through Libya, I show that irregular return migrants from Ghana rely predominantly on interpersonal sources, including colleagues, neighbors, friends and relatives, for information on migration. Return migrants seek information from those who have relevant experience with that kind of migration. Existing research focuses on information from ‘formal’ sources such as traditional print media, social media, library or workshops. Here I argue that this focus on access to information conceals the activities and practices of irregular return migrants who perceive European destinations as ‘greener pastures’ and seek information to travel through dangerous routes. Most irregular return migrants interviewed in this study indicated they had access to information from ‘informal’ sources often shared as ‘jokes.’ Although irregular return migrants perceive the information they gather through their everyday activities as reliable, their interactions involve complex and unstructured social processes.


Author(s):  
Lucia Summers ◽  
Rob T. Guerette

This chapter considers how offenders and victims make use of space and how variations in their patterns of movement influence the occurrence of crime. It examines examples of individual offender decision-making, such as how past experience informs future decisions (both legitimate and illegal), and how individual activity patterns can influence the broader social processes that take place within the environment. It begins with an exploration of the fundamental theoretical frameworks upon which environmental criminology is based. It then discusses how these frameworks inform various aspects of our endeavor to understand crime, the particular benefits of each theoretical approach, and how they complement and contrast with one another. Particular emphasis is placed on how potential offenders, victims, and others use space, and how this impacts upon crime patterns. This is followed by discussions of specific areas related to offender mobility, namely the journey to crime and displacement.


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