scholarly journals Decision Maker Profiling Using Their Mental Behavior Pattern

2021 ◽  
Vol 12 ◽  
Author(s):  
Flávio Luis de Mello ◽  
Sebastião Alves de Souza

This study describes a method to assist the task of predicting the result of the decision-making process of an individual based on psychological and emotional aspects and using artificial intelligence (AI) techniques. This study presents indicators created for profile identification, which are organized in primary and circumstantial categories. These indicators are merged according to the ultimate purpose of profile identification, including the expected behavioral pattern for a person who performs a decision-making process. The person behavior hypothesis was successfully tested and can be approximated by an indicator such as mental functioning pattern, and the mental functioning pattern hypothesis can signal the most likely decisions of an individual. Four debtor decision variables were assessed in a debt negotiation process, in order to validate the method, which is applicable to other decision-making domains. The best signaling of the most likely decision of the debtor was seven times greater than that of a random prediction, while the gain of the worst decision signaling variable was 20%.

2020 ◽  
Vol 8 (5) ◽  
pp. 1436-1441

Sustainable manufacturing is important criterion nowadays in developing nations like India. Its implementation is made almost compulsory for all types of industries for the sake of the environment. It could be better implemented if its supporting factors are used at priority instead of wasting time with other less important factors that are not worthy in the process of implementation. So, here in this paper already identified drivers of sustainable manufacturing through a vast literature review of past articles are ranked to give them priority numbers, so that these could be used at first in comparison to the lower ones in the hierarchy table for implementation of sustainable manufacturing. As the ranking of factors is a decision-making process, here we used one of the Multi-Criteria Decision Model Techniques, named as a fuzzy linguistics approach of decision making for ranking or prioritization of factor, for ranking of drivers of sustainable manufacturing. Total 13 identified drivers have first categorized in four different criteria with four different decision variables using 5 point linguistic ratings and then has been ranked, from one to thirteen as one is for most supportive driver and thirteenth as least supportive driver of sustainable manufacturing. These are suggested to various industries for implementing sustainable manufacturing an easier task for them. It might be very helpful for them.


2017 ◽  
Vol 15 (3) ◽  
Author(s):  
Marcelo Carauta ◽  
Affonso Amaral Dalla Libera ◽  
Anna Hampf ◽  
Rafael Felice Fan Chen ◽  
José Maria Ferreira Jardim Silveira ◽  
...  

To keep yield advances, farmers in Mato Grosso (MT) have been adopting several technological innovations. Therefore, agricultural production systems in MT have become complex and dynamic since farmers have to consider the increase of decision variables when planning and implementing their farming practices. These variables are widely spread across many distinct topics, bringing them together and summarizing information from diverse fields of research has become a difficult task in farmers’ decision-making process. Therefore, we performed an Integrated Assessment simulation experiment with a region-specific bio-economic component to assess trade-offs between different agricultural practices in a double cropping system. The simulation experiment was carried out with MPMAS, a multi-agent software package developed for simulating farm-based economic behavior and human-environment interactions in agriculture. Crop yields were simulated with the Model of Nitrogen and Carbon dynamics in Agro-ecosystems (MONICA). Our simulation results show a trade-off between lower soybean yields with the flexibility of double cropping when soybean with shorter maturity cycle is introduced. Results also captured regional differences in terms of land use share of different crops and farm configurations of double cropping. These results provide key insights into a farmer’s decision-making process depending on a multitude of decision variables.


Retos ◽  
2020 ◽  
pp. 341-348
Author(s):  
Aquiles Alejandro Almonacid-Fierro ◽  
Miguel Martinez Romero ◽  
Manuel Alberto Almonacid Fierro

El estudio tiene como objetivo, identificar los elementos que influyen en el proceso de toma de decisión en deportistas de alto rendimiento, durante el momento de la competición, desde la mirada subjetiva de los propios atletas. Existirían principalmente dos teorías que explicarían la toma de decisión, por un lado, el modelo de procesamiento de la información y, por otro lado, la dimensión ecológica. No obstante, en ambas estarían involucrados una diversidad de elementos que generan como producto final una determinada decisión, generando una conducta intencional y, por ende, una consecuencia que puede ser negativa o positiva. El estudio consideró a doce deportistas de Natación, Ciclismo y Canotaje. La investigación tuvo un enfoque cualitativo utilizando una metodología de recolección de datos mediante el método inductivo realizado a través de una entrevista semi-estructurada. Los datos se analizaron mediante la codificación abierta circunscrita a la teoría fundamentada en los datos, que permite el análisis de contenido mediante fases de organización y sistematización. Como conclusión del estudio, se puede señalar que la toma de decisión en el deporte es un proceso, en donde se conjugan aspectos tales como autoconfianza, motivación, expectativas de autoeficacia, concentración y emociones, con sus respectivas subcategorías. La elección tomada por el deportista sería el punto final de todo el proceso de toma de decisión, donde debe analizar la información interna como las variables del ambiente, el momento de cada competencia, las características de cada deporte y los aspectos cognitivos-emocionales que emergen en tan decisiva instancia deportiva.Abstract. The main objective of the study is to identify the elements that influence the decision-making process in high-performance athletes during de time of competitions, from de subjective view of the athletes themselves. There would be mainly two theories that would explain the decision making process, on de one hand, the information processing model and the other hand the ecological dimension. However, in both of them a diversity of elements would be involved that generate as a final product a certain decision, generating an intentional behavior and, therefore, a consequence that can be negative or positive. The study considered twelve athletes from Swimming, Cycling and Canoeing. The research had a qualitative approach using a data collection methodology by means of the inductive method carried out through a semi-structured interview. The data was analyzed through open coding limited to the Theory based on the Data, which allows content analysis through organizational and systematization phases. As conclusion of the study, it can be noted that decision-making in sport is a process, where aspects such as self-confidence, motivation, expectations of self-efficacy, concentration and emotions are combined with their respective subcategories. The choice made by the athlete would be the end point of the entire decision-making process, where he must analyze the internal information such as the environmental variables, the moment of each competition, the characteristics of each sport and the cognitive-emotional aspects that emerge in such a decisive sports instance.


2021 ◽  
Vol 22 (2) ◽  
Author(s):  
Zhixian Yang ◽  
Kshuangchen Fu ◽  
Jhon Paul

With the advancement in the technology, deployment of sensors in the industrial or public building is increasing rapidly. The basic aim is to obtain the data from the environment and decision making to the energy saving. The activities caused by the human results the undergoing negative change in the environment. There are many techniques available for decision making and consider the environmental factors solely which cause the energy consumption. However, user’s preferences are not adapted by the systems, but at energy consumption optimization, these systems are very successful. The end-users use the system which considers the factors and their wellbeing are get affected. The distributed generation is incorporated by the Smart Small Grid (SSG), communication network and the sensors for the more reliable, flexible and efficient grid. The energy saving system is presented in this paper which also adapts to the inhabitants preferences apart from environmental conditions consideration. The architecture of Multi-Agent System (MAS) and the agents are utilized for negotiation process performance between the users comfort preferences and optimization degree that according to these preferences, achievement of system is done. The energy consumption of 40% is obtained and in the inhabitants' behavior pattern, the algorithm was specialized. The 16.89% of reduction is obtained by the existing system and it was focused to obtain the agreement between the system and users for user preference satisfaction and the energy optimization is also performed at the same time.


Author(s):  
Lea Tufford

This chapter presents a mandatory reporting model outlining the decision-making factors within the context of reporting suspected child abuse and neglect. The chapter begins by examining the literature on decision-making and child maltreatment and then focuses on neurological and emotional aspects of decision-making. The chapter moves to delineating the empirical factors (legal, clinician, situational, professional, and relationship) associated with mandatory reporting and specific domains within each factor. A case example provides an illustration of the decision-making process in a mandatory reporting situation.


Author(s):  
T. Wade Fallin ◽  
Deborah L. Thurston

Abstract Expanding design analysis to include lifecycle considerations makes design decision making more complex. This paper presents a methodology for structuring the lifecycle of the design decision making process itself in order to efficiently utilize designers’ time. The first step involves organizing performance objectives and decision variables into a hierarchical matrix structure defining the design space. Then, vertex partitioning is performed on a graph representation of the design space to delineate distinct stages where only a subset of decision variables are analyzed. An example of the parametric design of an artificial hip illustrates the methodology.


2011 ◽  
Vol 15 (02) ◽  
pp. 177-200
Author(s):  
Terence Tsai ◽  
Shubo Philip Liu

In mid-1999, the Walt Disney Company and the Hong Kong Government were involved in intense discussions about the possibility of building the Hong Kong Disneyland theme park on Lantau Island. This case presented detailed information about the proposed theme park and the associated decision making process with a particular emphasis on sustainable development. It also lays out the characteristics of the Hong Kong Government and Hong Kong people that might have played a role in decision making. The case includes A and B parts concerning corporate and government decision making. It firstly summarizes the negotiation process between Disney and the Hong Kong Government, and considered the environmental impact on Hong Kong. The difficulties faced by governments in making decisions about this highly visible large-scale project are described. It then explains the rationale of the government decision, which illustrates how governmental structure and culture affect the decision making process. In the end, it showed improvements in Hong Kong Disneyland with respect to sustainable management and development.


2014 ◽  
Vol 23 (2) ◽  
pp. 104-111 ◽  
Author(s):  
Mary Ann Abbott ◽  
Debby McBride

The purpose of this article is to outline a decision-making process and highlight which portions of the augmentative and alternative communication (AAC) evaluation process deserve special attention when deciding which features are required for a communication system in order to provide optimal benefit for the user. The clinician then will be able to use a feature-match approach as part of the decision-making process to determine whether mobile technology or a dedicated device is the best choice for communication. The term mobile technology will be used to describe off-the-shelf, commercially available, tablet-style devices like an iPhone®, iPod Touch®, iPad®, and Android® or Windows® tablet.


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