scholarly journals Mathematical-physical model of solving inventive problems

2021 ◽  
Vol 49 (3) ◽  
pp. 726-733
Author(s):  
Dušan Rajić
Keyword(s):  
Decision Making ◽  
Differential Geometry ◽  
Quantitative Analysis ◽  
Physical Model ◽  
Physical Modeling ◽  
Decision Making Process ◽  
Engineering System ◽  
Exact Calculations ◽  
Relevant Degree ◽  
Adequate Resource

The spatial-temporal LT-contradiction matrix is an inventology tool that enables exact calculations of certain parameters in an engineering system through mathematical-physical modeling. It objectifies the decision-making process and creates the preconditions to finding an adequate resource (X-element) with a higher probability, and thus to reach a higher degree of ideality solution (HDIS) of an inventive problem as well. Any engineering system that generates an inventive problem can be described using the LT-contradiction matrix. By crossing the appropriate parameters in the LT-contradiction matrix, with the help of the differential geometry of the tensor, a qualitative-quantitative analysis and calculation of relevant degree all contradictions that exist in the inventive problem can be performed. After that, the path to finding the physical characteristics of the X-element in the mathematical-physical model is facilitated, i.e. finding a real resource that will enable a HDIS of the inventive problem in an engineering system.

scholarly journals Fogyasztói magatartás a hazai utazási szolgáltatások piacán - a hibrid vásárlói magatartás vizsgálata (Consumer behaviour on market of the Hungarian travel services – Examination of hybrid consumption)

2010 ◽  
pp. 50-62
Author(s):  
Ágnes Neulinger ◽  
Judit Simon ◽  
Kata Kelemen ◽  
Ágnes Hofmeister Tóth ◽  
Edit Bódi
Keyword(s):  
Decision Making ◽  
Quantitative Analysis ◽  
Consumer Behaviour ◽  
Total Sample ◽  
Decision Making Process ◽  
Qualitative And Quantitative Analysis ◽  
Qualitative And Quantitative ◽  
Travel Services

A szerzők kutatási projektjükben a hazai lakosság utazással kapcsolatos fogyasztási, vásárlási magatartását vizsgálták, különös tekintettel a hibrid fogyasztói viselkedés alakulására. A kutatás a rendszeresen utazó vagy az utazás iránt érdeklődő csoportra terjedt ki. Az első, kvalitatív fázisban a nyaralás értelmezését, a keresés és döntés kritériumait tárták fel, majd következő lépésben statisztikai elemzésekkel vizsgálták a fogyasztói magatartás jellemzőit. Indexszámítás alapján besorolták a válaszadókat a hibrid fogyasztás kategóriáiba. Besorolásuk szerint a megtakarításorientált olcsón vásárlók és a komfortorientált márkavásárlók jelentik a legnagyobb csoportokat, az előbbi 31,9%-ot, az utóbbi 29,6%-ot képviselve a mintában. A megtakarítás-orientált márkavásárlók 21%-ot, a komfortorientált olcsón vásárlók 17,5%-ot tesznek ki. Elemzésük igazolta, hogy a hibrid vásárlói magatartás elméleti megközelítése jól használható a hazai utazási piac elemzésekor. ________ Recent study examines travelling behaviour in Hungary with special emphasis on hybrid consumption. Using qualitative and quantitative analysis the study explore the decision making process related to hybrid consumption in travel services. Based on indexes the authors classified respondents into categories of hybrid consumption. According to their classification the main groups are savings-oriented budget shoppersand comfort-oriented brand shoppers, representing 31,9% and 29,6% share in the total sample, accordingly. Based on their analysis the approach of hybrid consumption proved to be useful to analyse consumer behaviour in travel services.

scholarly journals A HYBRID KANSEI ENGINEERING SYSTEM USING THE SELF-ORGANIZING MAP NEURAL NETWORK

2016 ◽  
Vol 2 (1) ◽  
pp. 23-38
Author(s):  
C.S. Teh ◽  
C.P. Lim
Keyword(s):  
Neural Network ◽  
Decision Making ◽  
Product Design ◽  
The Self ◽  
Design Parameters ◽  
Decision Making Process ◽  
Engineering System ◽  
Self Organizing Map ◽  
Kansei Engineering ◽  
Self Organizing

Kansei Engineering (KE), a technology founded in Japan initially for product design, translates human feelings into design parameters. Although various intelligent approaches to objectively model human functions and the relationships with the product design decisions have been introduced in KE systems, many of the approaches are not able to incorporate human subjective feelings and preferences into the decision-making process. This paper proposes a new hybrid KE system that attempts to make the machine-based decision-making process closely resembles the real-world practice. The proposed approach assimilates human perceptive and associative abilities into the decision-making process of the computer. A number of techniques based on the Self-Organizing Map (SOM) neural network are employed in the backward KE system to reveal the underlying data structures that are involved in the decision-making process. A case study on interior design is presented to evaluate the efficacy of the proposed approach. The results obtained demonstrate the effectiveness of the proposed approach in developing an intelligent KE system which is able to combine human feelings and preferences into its decision making process.

A Framework for Using Analytics to Make Decisions

2009 ◽  
pp. 251-264
Author(s):  
Paul J. Bracewell
Keyword(s):  
Decision Making ◽  
Quantitative Analysis ◽  
Predictive Models ◽  
Analytical Techniques ◽  
Decision Makers ◽  
Decision Making Process ◽  
Technological Design ◽  
Data Manipulation ◽  
Analytical Process ◽  
Analytical Technology

Analytics provides evidence for objective corporate decision-making. Lack of understanding of analytical techniques can create confusion amongst decision-makers. Confusion generates mistrust which leads to the exclusion of analytics from the decision-making process. Confusion is avoided by ensuring that results are justified. This requires that the analytical process is auditable. Aligning technological design and deployment with human roles creates the necessary framework for auditability. This is achieved with four analytical technology components: data manipulation, statistical and quantitative analysis, creation, and export of exploratory and predictive models, and delivery of output. These components correspond with key stages and phases of collaboration in the analytical process. Describing the interaction and alignment leads to a proposed framework for the socio-technical development of analytical software and process which considers both user and non-user needs. This framework can be expanded to other domains where technology and users of technology must collaborate with non-users who dictate acceptance.

Application of Econometrics in Business Research

2021 ◽  
pp. 137-159
Author(s):  
Jhumur Sengupta
Keyword(s):  
Decision Making ◽  
Quantitative Analysis ◽  
Economic Model ◽  
Business Management ◽  
Econometric Models ◽  
Econometric Analysis ◽  
Decision Making Process ◽  
Business Research ◽  
Managerial Decision ◽  
Important Input

The last few years have seen great developments in econometrics for a better understanding of economic phenomena. The range of areas in which econometric models are successfully applied has steadily widened including finance and business management. Econometric analysis is concerned with the quantitative relationships between economic variables and it can provide an important input into the decision-making process. The range of areas in which econometric models are successfully applied has steadily widened including finance and business management. Econometrics has enhanced our understanding of the way the managerial decision works. Econometrics is used in doing quantitative analysis of actual economic phenomena based on theory and observations. An economic model is based on a set of assumptions to simplify the complex economic phenomena. This chapter is an attempt to review the application of econometrics using business data. The main objective of this chapter is to chart the application of this science in various fields of business management.

AAC Decision-Making and Mobile Technology: Points to Ponder

2014 ◽  
Vol 23 (2) ◽  
pp. 104-111 ◽  
Author(s):  
Mary Ann Abbott ◽  
Debby McBride
Keyword(s):  
Decision Making ◽  
Mobile Technology ◽  
Communication System ◽  
Augmentative And Alternative Communication ◽  
Evaluation Process ◽  
Decision Making Process ◽  
Alternative Communication ◽  
Ipod Touch ◽  
Feature Match

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.

Sign in / Sign up

Export Citation Format

Share Document