Application of Fuzzy Cognitive Models in Computer-Aided Production Tooling Design

Kopeliovich, D. I.; Podvesovskii, Aleksandr; Safonov, Aleksandr; Vilyukha, A. V.; Isaev, Ruslan

doi:10.14489/vkit.2018.03.pp.020-035

Cited by 4 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Erokhin et al (2010), D.I. Kopeliovich et al (2018). The obtained data allow us to verify the cognitive model as adequate to the real situation, as the consonance indicators that determine the quality of the logical sequence and the correspondence to experience are quite high (up to 0.7).…”

Section: Materials and Methods: The Methodology For Agricultural Territories Competitiveness Management Using Cognitive Technologiesmentioning

confidence: 55%

Formation of the competitive potential of the agricultural territories

Anokhina¹,

Abdrakhmanov²,

Gridneva³

et al. 2020

JESI

View full text Add to dashboard Cite

The purpose of the study is to develop a mechanism for the formation of the competitive potential of the agricultural territories of Kazakhstan as the basis for ensuring the dynamic development of agricultural business in Kazakhstan. The research methodology is based on strategic alternative modeling for agricultural territories competitiveness management with the help of fuzzy cognitive logic. The study used a cognitive approach to decision making in the management of poorly structured systems proposed by V. Silov and actively developed in the works of modern scientists. Fifteen competent experts were invited to select the concepts and build a fuzzy cognitive map of the formation of the competitive potential of the agricultural territories of Kazakhstan. To carry out calculations and justify the content of the strategy, the authors used the software product "Intelligent generation of the best alternatives" ("IGLA"). The result of the study is the developed strategy for the management of agricultural territories competitiveness in Kazakhstan with a set of strategic goals and the best option for managerial impact, ensuring the formation of agricultural export potential of the region. The proposed version of the content of the strategy for managing the competitiveness of the agricultural territories of Kazakhstan can be used either as a system or as its separate elements in managing the development of agricultural business in the country and in developing strategic planning programs for the agro-industrial complex of the region. The novelty of the study in theoretical terms is justified by the approach to the formation of the country's agricultural export potential through ensuring the competitiveness of its agricultural territories. In methodological terms, the novelty of the study is expressed by the use of cognitive modeling technologies to develop a strategy for managing the competitiveness of Kazakhstan's agricultural territories, the implementation of which will allow achieving sustainable dynamics of agricultural production and increase the efficiency of the agricultural economy.

show abstract

Section: Materials and Methods: The Methodology For Agricultural Territories Competitiveness Management Using Cognitive Technologiesmentioning

confidence: 55%

Formation of the competitive potential of the agricultural territories

Anokhina¹,

Abdrakhmanov²,

Gridneva³

et al. 2020

JESI

View full text Add to dashboard Cite

show abstract

Fuzzy cognitive model of agricultural economic growth

Anokhina

2022

Economic Systems Research

View full text Add to dashboard Cite

The Subsystem of Data Exchange within the Decision Support System Based on Cognitive Modeling “IGLA”: Architecture and Implementation Features

Zimonina¹,

Isaev²,

Podvesovskiy³

2020

CPT2020 the 8th International Scientific Conference on Computing in Physics and Technology Proceedings

View full text Add to dashboard Cite

The article considers the architecture and implementation features of the data exchange subsystem as part of the decision support system based on fuzzy cognitive models "IGLA", developed with the participation of the authors. The subsystem supports importing data about the structure and parameters of the cognitive model from external applications, as well as exporting data about the cognitive model and the results of its structural-target and scenario analysis. In addition, the subsystem implements a report building module that accumulates the results of building and analysing a cognitive model in a single document, which can serve as a technical template for the corresponding publication, if necessary.

show abstract

Application of Fuzzy Cognitive Models in Computer-Aided Production Tooling Design

Cited by 4 publications

References 0 publications

Formation of the competitive potential of the agricultural territories

Formation of the competitive potential of the agricultural territories

Fuzzy cognitive model of agricultural economic growth

The Subsystem of Data Exchange within the Decision Support System Based on Cognitive Modeling “IGLA”: Architecture and Implementation Features

Contact Info

Product

Resources

About