scholarly journals Classification of The Monolithic Columns Produced in Troad and Mysia Region Ancient Granite Quarries in Northwestern Anatolia via Soft Decision-Making

2019 ◽  
Author(s):  
Serdar ENGİNOĞLU ◽  
Murat AY ◽  
Naim ÇAĞMAN ◽  
Veysel TOLUN
Keyword(s):  
Decision Making ◽  
Monolithic Columns ◽  
Soft Decision ◽  
Granite Quarries

Awareness and Decision Making in Professional Ethics

2000 ◽  
Vol 5 (1) ◽  
pp. 19-27 ◽  
Author(s):  
Ronny Swain
Keyword(s):  
Decision Making ◽  
Professional Ethics ◽  
Ethical Decision Making ◽  
Code Of Ethics ◽  
Professional Autonomy ◽  
Ethical Awareness ◽  
Ethical Decisions ◽  
The Right ◽  
Aid Decision

The paper describes the development of the 1998 revision of the Psychological Society of Ireland's Code of Professional Ethics. The Code incorporates the European Meta-Code of Ethics and an ethical decision-making procedure borrowed from the Canadian Psychological Association. An example using the procedure is presented. To aid decision making, a classification of different kinds of stakeholder (i.e., interested party) affected by ethical decisions is offered. The author contends (1) that psychologists should assert the right, which is an important aspect of professional autonomy, to make discretionary judgments, (2) that to be justified in doing so they need to educate themselves in sound and deliberative judgment, and (3) that the process is facilitated by a code such as the Irish one, which emphasizes ethical awareness and decision making. The need for awareness and judgment is underlined by the variability in the ethical codes of different organizations and different European states: in such a context, codes should be used as broad yardsticks, rather than precise templates.

scholarly journals Deep learning framework for handling concept drift and class imbalanced complex decision-making on streaming data

2021 ◽  
Author(s):  
S. Priya ◽  
R. Annie Uthra
Keyword(s):  
Decision Making ◽  
Deep Learning ◽  
Concept Drift ◽  
Class Imbalance ◽  
Streaming Data ◽  
Superior Performance ◽  
Data Streaming ◽  
Minority Class ◽  
Concept Drift Detection

AbstractIn present times, data science become popular to support and improve decision-making process. Due to the accessibility of a wide application perspective of data streaming, class imbalance and concept drifting become crucial learning problems. The advent of deep learning (DL) models finds useful for the classification of concept drift in data streaming applications. This paper presents an effective class imbalance with concept drift detection (CIDD) using Adadelta optimizer-based deep neural networks (ADODNN), named CIDD-ADODNN model for the classification of highly imbalanced streaming data. The presented model involves four processes namely preprocessing, class imbalance handling, concept drift detection, and classification. The proposed model uses adaptive synthetic (ADASYN) technique for handling class imbalance data, which utilizes a weighted distribution for diverse minority class examples based on the level of difficulty in learning. Next, a drift detection technique called adaptive sliding window (ADWIN) is employed to detect the existence of the concept drift. Besides, ADODNN model is utilized for the classification processes. For increasing the classifier performance of the DNN model, ADO-based hyperparameter tuning process takes place to determine the optimal parameters of the DNN model. The performance of the presented model is evaluated using three streaming datasets namely intrusion detection (NSL KDDCup) dataset, Spam dataset, and Chess dataset. A detailed comparative results analysis takes place and the simulation results verified the superior performance of the presented model by obtaining a maximum accuracy of 0.9592, 0.9320, and 0.7646 on the applied KDDCup, Spam, and Chess dataset, respectively.

A mathematical model for decision-making in the classification of para-footballers with different severity of coordination impairments

2018 ◽  
Vol 37 (12) ◽  
pp. 1403-1410 ◽  
Author(s):  
Diego Pastor ◽  
María Campayo-Piernas ◽  
Jesús Tadeo Pastor ◽  
Raul Reina
Keyword(s):  
Mathematical Model ◽  
Decision Making

scholarly journals Adoption of management decisions based on programming methods as a subgroup of methods for optimizing performance indicators

2019 ◽  
Vol 4 (9) ◽  
pp. 34-44
Author(s):  
А. Тебекин ◽  
A. Tebekin
Keyword(s):  
Decision Making ◽  
Performance Indicators ◽  
Management Decision ◽  
Management Decisions ◽  
General Classification ◽  
Managerial Decisions ◽  
Management Decision Making ◽  
First Time

The author's classification of management decision-making methods, including twenty-five classes of methods, is presented for the first time. As part of the general classification of management decision-making methods, the role and place of a group of methods for making managerial decisions based on the optimization of performance indicators was demonstrated. In the group of methods for making managerial decisions based on the optimization of performance indicators, a subgroup of programming methods (linear, nonlinear and dynamic) is considered in detail. The features of use and application are shown when making managerial decisions of a subgroup of programming methods.

scholarly journals How Marketing Instruments Affect Consumer Behavior in Times of Economic Turbulence

2014 ◽  
Vol 62 (6) ◽  
pp. 1257-1263 ◽  
Author(s):  
Naďa Birčiaková ◽  
Jana Stávková ◽  
Martin Souček
Keyword(s):  
Decision Making ◽  
Consumer Behavior ◽  
Wilcoxon Test ◽  
Individual Factors ◽  
The Czech Republic ◽  
Income Levels ◽  
Level Of Education ◽  
Brand Quality ◽  
Radial Graphs

This article analyzes the behavioural changes in groups of consumers and households on the market with individual commodities, based on the classification of individual reasonable consumption. Consumers expressed the degree of influence in their decision-making on satisfying their needs through selected key marketing factors such as price, brand, quality, habits and experience, advertising, recommendation from friends and relatives, packaging, discounts, new items, and so on. The analysis sought to determine whether the changes in the economic situation in the Czech Republic have an impact on the degree of marketing instrument influence on consumer behavior and decision-making. To express the degree of influence 10 point opinion scale is used. Thanks to the investigation taking place in 2007 with 609 respondents and in 2013 with 516 respondents, it was possible, it was possible to deal with the search for evidence of differences in the importance of individual factors using the Wilcoxon test. In 2013, attention was also paid to the degree of influence of some marketing tools such as price, quality and discount events on consumer behavior and decision-making in selected groups of households created by different income levels and different level of education achieved by the head of the household. The influence is expressed by radial graphs.

Sign in / Sign up

Export Citation Format

Share Document