An Idea for an Autonomous Navigation Decision System

2021 ◽  
Author(s):  
Grzegorz Kopecki
Keyword(s):  
Decision Making ◽  
Control System ◽  
Autonomous Navigation ◽  
Decision Making Process ◽  
Multi Criteria Decision Making ◽  
Decision System ◽  
Decision Making System ◽  
Simulation Results

The article presents an idea for a system taking autonomous navigation decisions. First, the structure of a UAV control system is described. Next, the idea for an autonomous navigation decision system is shown. Algorithms are based on the multi-criteria decision-making system. Possible faults are defined, and they are taken into consideration in the decision-making process. To illustrate the idea simulation results are shown.

Demystifying intuition as the main decision system used by farmers.

2021 ◽  
Vol 16 (10) ◽  
Author(s):  
Peter Nuthall
Keyword(s):  
Decision Making ◽  
Literature Search ◽  
Relevant Literature ◽  
Farm Management ◽  
Decision Making Process ◽  
Decision System ◽  
Intuitive Process ◽  
Important Improvement ◽  
The Many ◽  
Do So

Abstract Over the decades, many researchers have explored the concept of intuition as a decision-making process. However, most of this research does not quantify the important aspects of intuition, making it difficult to fully understand its nature and improve the intuitive process, enabling an efficient method of decision-making. The research described here, through a review of the relevant literature, demystifies intuition as a decision system by isolating the important intuition determining variables and relating them to quantitative intuition research. As most farm decisions are made through intuition, farmers, consultants, researchers and students of farm management will find the review useful, stimulating efforts for improving decision-making skills in farmers. The literature search covered all journals and recent decades and includes articles that consider the variables to be targeted in improving intuitive skill. This provides a basis for thinking about intuition and its improvement within the farming world. It was found from the literature that most of the logical areas that should influence decisions do in fact do so and should be targeted in improving intuition. One of the most important improvement processes is a farmer's self-criticism skills through using a decision diary in conjunction with reflection and consultation leading to improved decisions. This must be in conjunction with understanding, and learning about, the many other variables also impacting on intuitive skill.

Preparation of Sub-Criteria for Mathematical Modeling of Multi-Criteria Decision Making

2014 ◽  
Vol 1020 ◽  
pp. 765-768
Author(s):  
Eva Berankova ◽  
František Kuda ◽  
Stanislav Endel
Keyword(s):  
Decision Making ◽  
Public Service ◽  
Input Data ◽  
Decision Making Process ◽  
Multi Criteria Decision Making ◽  
Individual Selection ◽  
Qualitative And Quantitative ◽  
Data Analyses ◽  
Quantitative Characters ◽  
The Subject

The subject of this paper is to evaluate criteria in the decision-making process for choosing new usable office facilities in light of a big company or public service seeking for new usable office facilities. The criteria defining the requirements for individual selection variants enter into this decision-making process. These criteria have qualitative and quantitative characters. In order to model the criteria, it is desirable that their values are standardized. The method of standardization of these criteria is given in this paper. In this paper, attention is paid to the decision-making process in the course of choosing new usable facilities in administration objects. This decision-making process is based on input data analyses and on conclusions for a certain selection variant resulting from them.

scholarly journals MULTI-CRITERIA DECISION MAKING PROCESS USING CUBIC SOFT MATRICES

2020 ◽  
Vol 07 (01) ◽  
pp. 119-147
Author(s):  
CHINNADURAI . ◽  
SWAMINATHAN . ◽  
BOBIN . ◽  
THILLAIGOVINDAN .
Keyword(s):  
Decision Making ◽  
Decision Making Process ◽  
Multi Criteria Decision Making

scholarly journals Modelling Decision Making under Uncertainty for Strategic Forecasting

2019 ◽  
Vol 8 (3) ◽  
pp. 7251-7255
Keyword(s):  
Decision Making ◽  
Economic Activity ◽  
Detrimental Effect ◽  
Decision Making Under Uncertainty ◽  
Decision Making Process ◽  
Insufficient Information ◽  
High Quality ◽  
Decision Making System ◽  
Specific Management ◽  
Selection Of

In current market conditions, the key to productive economic activity is the ability to provide a high-quality forecast, even in situations of insufficient information. Strategic forecasting refers to this type of activity, errors in which the actions of any company can have a detrimental effect on the fundamental level. The justification and selection of specific management decisions can often be carried out in conditions of uncertainty due to the inability to clearly predict the values of the final results of these decisions. The decision-making system within the framework of the strategic forecasting task should help maintain the effectiveness of actions by simplifying the picture of the real world by modelling it. While allowing to reduce the influence of the subjectivity of the personality of the decision-maker on the decision-making process itself

Modeling Knowledge Employee’s Turnover Based on P-SVM

2010 ◽  
Vol 121-122 ◽  
pp. 825-831
Author(s):  
Yong Zhao ◽  
Ye Zheng Liu
Keyword(s):  
Genetic Algorithm ◽  
Decision Making ◽  
Model Development ◽  
Forecast Model ◽  
Support Vector ◽  
Multi Criteria Decision Making ◽  
Parameters Selection ◽  
Vector Machines ◽  
Decision Making Problem ◽  
Simulation Results

Knowledge employee’s turnover forecast is a multi-criteria decision-making problem involving various factors. In order to forecast accurately turnover of knowledge employees, the potential support vector machines(P-SVM) is introduced to develop a turnover forecast model. In the model development, a chaos algorithm and a genetic algorithm (GA) are employed to optimize P-SVM parameters selection. The simulation results show that the model based on potential support vector machine with chaos not only has much stronger generalization ability but also has the ability of feature selection.

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