How to Fix Coordination Lags in the Keynesian Macroeconomical Intervention?

The Keynesian macroecomic intervention often fails. This is most likely due to forecasting problems of the macroeconomy. This article present a software idea of fuzzy logic controlling unit which replaces long and tedious human intervention in macroeconomic stimulation process. The Keynesian Macroeconomic intervention now made by officials and politicians is suggested to be made by much faster and more purposeful automatic computer adjustment process. It is assumed that this kind of just in time and very fast automatic computer intervention would lead to optimimal usage of the resources in a much better way than any current human lead systems would be able to do.

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MODELS FOR DESCRIBING AND SUPPORTING AUTOMATED SYSTEM SCENARIOS

СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ ◽

10.36622/vstu.2020.72.37.004 ◽

2020 ◽

pp. 18-22

Author(s):

В.П. Хранилов ◽

П.В. Мисевич ◽

А.Э. Ермилов

Keyword(s):

Fuzzy Logic ◽

Life Cycle ◽

Automated System ◽

Just In Time ◽

Success Factor ◽

Situational Analysis ◽

Frame Model ◽

Information Logistics ◽

The Right ◽

The Mathematical Model

В статье представлены модели описания сценариев функционирования автоматизированных систем (АС). Вводится и анализируется категория "жизненный цикл сценариев АС". Наиболее важными этапами жизненного цикла сценария являются следующие: этап формирования событийного набора для формирования сценария, этап выполнения последовательности сценарных событий и этап ситуационного анализа внешней и внутренней среды события. В статье предложена математическая модель функционирования АС, которая используется для поддержки этапа выполнения последовательности сценарных событий и основана на принципе информационной логистики: каждый параметр (набор данных) находится в нужном месте в АС, "точно в срок" и в нужном формате. Для поддержки ситуационного анализа предлагается модифицированная фреймовая модель. Ситуационный анализ используется для разработки алгоритмов событий и определения следующего события в сценарии. Модифицированная фреймовая модель основана на использовании нечетких логических процедур в фреймовой сети. The paper presents models for describing the operating scenarios of automated systems. The authors introduce and analyze the category “the life cycle of automated system scenarios”. The life cycle consists of a sequence of stages. The leading success factor of any scenario is the support of the scenario during all stages of its life cycle. The most important stages of the scenario life cycle are the following: the stage of forming the event set for generating the scenario, the stage of performing the sequence of scenario events and the stage of situational analysis of the external and internal environment of the event. In the article it is proposed to use a theoretical set model in order to select an element from a set of alternatives. The elements are events for designing a scenario. The model uses fuzzy logic and is based on the process of controlling an array of parameters if variants are available. The model is used to support the stage of forming a set of events for generating the scenario. The mathematical model of automated system operation which is used to support the stage of performing the sequence of scenario events is suggested in the article. The model is based on the principle of information logistics: each parameter (a set of data) is in the right place in the automated system, ‘just-in-time’ and in the required format. A modified frame model is proposed to support situational analysis. The situational analysis is used to operate the event algorithms and to determine the next event in the scenario. The modified frame model is based on the use of fuzzy logic procedures in a frame network.

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Just-In Time Production System Using Fuzzy Logic Approach and a Simulation Application

Advanced Materials Research ◽

10.4028/scientific5/amr.445.1029 ◽

2012 ◽

Vol 445 ◽

pp. 1029-1034

Author(s):

Yavuz Ozdemir ◽

Pelin Alcan ◽

Huseyin Basligil ◽

Cagri Dokuz

Keyword(s):

Fuzzy Logic ◽

Production System ◽

Just In Time ◽

Time Production ◽

Fuzzy Logic Approach ◽

Logic Approach

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Creating a Just-in-time Location-aware Service Using Fuzzy Logic

Applied Spatial Analysis and Policy ◽

10.1007/s12061-015-9137-3 ◽

2015 ◽

Vol 9 (3) ◽

pp. 287-307 ◽

Cited By ~ 2

Author(s):

Toly Chen

Keyword(s):

Fuzzy Logic ◽

Just In Time ◽

Location Aware

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PERSA: A Requirements Specification Process for Self-Adaptive Systems Based on Fuzzy Logic and NFR-Framework

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems ◽

10.1142/s0218488517500064 ◽

2017 ◽

Vol 25 (01) ◽

pp. 145-178 ◽

Cited By ~ 2

Author(s):

João Dionisio Paraiba ◽

Luiz Eduardo G. Martins

Keyword(s):

Fuzzy Logic ◽

Case Studies ◽

Adaptive Systems ◽

Automated System ◽

Human Intervention ◽

Functional Requirements ◽

Early Assessment ◽

Wide Variability ◽

Theoretical Proposal ◽

Self Adaptive

Self-Adaptive Systems are able to change their behavior at runtime according to the environment where they are. This study presents an approach to specify the requirements for self-adaptive systems based on the concepts of Fuzzy Logic, which deals with factors such as ambiguity, uncertainties and vague information on the solution of problems; and NFR-Framework, which deals with the non-functional requirements which, very often, vaguely and full of uncertainties present themselves. Adaptive systems consist of (functional and non-functional) requirements, which hold the capacity to modify themselves during the runtime with little or no human intervention at all. Requirements that carry out the feature of wide variability are called adaptive requirements. PERSA (acronym from “Processo de Especificação de Requisitos Adaptativos”, in Portuguese) is reported in this work, using the Fuzzy Logic and the NFR-Framework as a basis, since both offers resources to manage uncertainties, an inherent attribute of self-adaptive systems. This process aims the approach of specification of adaptive requirements in a systematic way providing a guide to support requirements engineers. PERSA Process is settled in three mains phases subdivided into several steps. Two case studies were developed to validate it: the first deals with an automated system to prepare steaks, which needs to adapt to its several types; the second relates to a system for automation for canine diets, which must be adapted to different breeds of dogs according to their size, weight and classification. The case studies provide a first approach of the use and benefits of PERSA Process. In these studied the theoretical proposal was evaluated and discussed in order to establish the degree of understanding, the clarity of activities and the necessary adjustments to improve the proposed achievements, thus obtaining a satisfactory though early assessment which answers the purpose of specifying the requirements for self-adaptive systems.

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Scheduling for just-in-time flexible manufacturing using adaptive fuzzy logic

Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture ◽

10.1243/0954405991517164 ◽

1999 ◽

Vol 213 (7) ◽

pp. 741-745

Author(s):

J D Tedford ◽

C Lowe

Keyword(s):

Fuzzy Logic ◽

Flexible Manufacturing ◽

Just In Time ◽

Adaptive Fuzzy ◽

Adaptive Fuzzy Logic

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Just-In Time Production System Using Fuzzy Logic Approach and a Simulation Application

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.445.1029 ◽

2012 ◽

Vol 445 ◽

pp. 1029-1034 ◽

Cited By ~ 1

Author(s):

Yavuz Ozdemir ◽

Pelin Alcan ◽

Huseyin Basligil ◽

Cagri Dokuz

Keyword(s):

Fuzzy Logic ◽

Production System ◽

Production Systems ◽

Low Cost ◽

Production Method ◽

Transformation Process ◽

Just In Time ◽

Time Production ◽

Fuzzy Logic Approach ◽

Jit Production

While firms are operating in a global competitive environment, they are subjected to changes because of the increased competitiveness and developed technologies. Therefore, this transformation process forces to produce with just-in-time production and low cost products or services and leads to customer satisfaction. Until today, competitive conditions, efficiency, productivity and quality of production, forced the firms to put more emphasis on production systems. Therefore, the firms are more interested in scientific analysis, planning and controlling of their production systems. As a result, one of the newest approaches is Just in Time (JIT) production system which emerged after WWII in Japan and aims to decrease the inventory cost and maximize the quality. The philosophy of this approach is to produce the necessary amount of production, when and where needed at the required quality.But JIT production system is weak in unclear species. For this purpose, the general and necessary solution is using fuzzy logic. In this paper we discussed about the simulation of an assembly line with 3 steps; firstly using Kanban production method, secondly non-using Kanban production method, and lastly using Kanban production method with fuzzy times. And also the comparisons of these steps will also be studied in this paper.

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Catalogue reduction techniques

International Astronomical Union Colloquium ◽

10.1017/s0252921100074340 ◽

1978 ◽

Vol 48 ◽

pp. 389-390 ◽

Cited By ~ 1

Author(s):

Chr. de Vegt

Keyword(s):

Adjustment Process ◽

Proper Motions ◽

Measuring Process ◽

Aerial Photogrammetry ◽

Reduction Techniques ◽

Observational Technique ◽

The Common ◽

Astrometric Data

AbstractReduction techniques as applied to astrometric data material tend to split up traditionally into at least two different classes according to the observational technique used, namely transit circle observations and photographic observations. Although it is not realized fully in practice at present, the application of a blockadjustment technique for all kind of catalogue reductions is suggested. The term blockadjustment shall denote in this context the common adjustment of the principal unknowns which are the positions, proper motions and certain reduction parameters modelling the systematic properties of the observational process. Especially for old epoch catalogue data we frequently meet the situation that no independent detailed information on the telescope properties and other instrumental parameters, describing for example the measuring process, is available from special calibration observations or measurements; therefore the adjustment process should be highly self-calibrating, that means: all necessary information has to be extracted from the catalogue data themselves. Successful applications of this concept have been made already in the field of aerial photogrammetry.

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