The theory of rough sets is an extension of set theory with two additional unary set-theoretic operators defined based on a binary relation on the universe. These two operators are related to the modal operators in modal logics. By exploring the relationship between rough sets and modal logics, this paper proposes and examines a number…
Intelligent Automation & Soft Computing Template
Write in a clean editor, then format for Intelligent Automation & Soft Computing in one click — DocuGuru applies the official Taylor & Francis template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Intelligent Automation & Soft Computing format
Intelligent Automation & Soft Computing is a peer-reviewed journal published by Taylor & Francis, covering IoT and Edge/Fog Computing, Fuzzy Logic and Control Systems, Network Security and Intrusion Detection.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Intelligent Automation & Soft Computing 12 (3): 45–58.
Formats any DOI in Intelligent Automation & Soft Computing style. No sign-up. |
| Publishes research in | IoT and Edge/Fog Computing Fuzzy Logic and Control Systems Network Security and Intrusion Detection Neural Networks and Applications Energy Efficient Wireless Sensor Networks |
| ISSN | 1079-8587 |
| Citation impact (2-yr) | 3.68 |
| h-index | 53 |
| i10-index | 711 |
| Total citations | 24,902 |
| Top institutions publishing here | Taif University |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Intelligent Automation & Soft Computing per year
Citation impact of Intelligent Automation & Soft Computing by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Intelligent Automation & Soft Computing
Abstract Modeling emotions has attracted much attention in recent years, both in cognitive psychology and design of artificial systems. Far from being a negative factor in decision making, emotions have shown to be a strong faculty for making fast satisficing decisions. In this paper, we have adapted a computational model based on the limbic system…
Supply Chain Collaboration is the network of various entities that work cohesively to make up the entire process. The supply chain organizations’ success is dependent on integration, teamwork, and the communication of information. Every day, supply chain and business players work in a dynamic setting. They must balance competing goals such as process robustness, risk…
Clustering is the process of grouping the data based on their similar properties. Meanwhile, it is the categorization of a set of data into similar groups (clusters), and the elements in each cluster share similarities, where... | Find, read and cite all the research you need on Tech Science Press
Information Collaboration of the supply chain is the domination and control of product flow information from the producer to the customer. The data information flow is correlated with demand fill-up, a role delivering service, and feedback. The collaboration of supply chain information is a complex contrivance that impeccably manages the efficiency flow and focuses on…