SOFT COMPUTING

Scope & Guideline

Advancing Knowledge in Fuzzy Logic and Neural Networks

Introduction

Immerse yourself in the scholarly insights of SOFT COMPUTING with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN1432-7643
PublisherSPRINGER
Support Open AccessNo
CountryGermany
TypeJournal
Converge2000, from 2003 to 2024
AbbreviationSOFT COMPUT / Soft Comput.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressONE NEW YORK PLAZA, SUITE 4600 , NEW YORK, NY 10004, UNITED STATES

Aims and Scopes

The journal "SOFT COMPUTING" primarily focuses on the application of soft computing techniques, including fuzzy logic, neural networks, genetic algorithms, and other computational intelligence methodologies. It aims to foster research that bridges theoretical advancements and practical applications across various domains.
  1. Fuzzy Logic and Systems:
    Research on fuzzy logic theories, methodologies, and their applications in various fields such as control systems, decision making, and data analysis.
  2. Neural Networks and Deep Learning:
    Exploration of neural network architectures, deep learning models, and their applications in image processing, natural language processing, and predictive analytics.
  3. Evolutionary Algorithms:
    Development and application of evolutionary algorithms, including genetic algorithms and swarm intelligence techniques for optimization problems.
  4. Multi-Criteria Decision Making (MCDM):
    Studies focusing on MCDM methodologies, particularly those incorporating fuzzy sets, intuitionistic fuzzy sets, and other soft computing frameworks.
  5. Data Mining and Knowledge Discovery:
    Research on data mining techniques, including clustering, classification, and feature selection, leveraging soft computing approaches.
  6. Applications in Engineering and Industry:
    Practical applications of soft computing methods in engineering, manufacturing, healthcare, and environmental management, addressing real-world challenges.
The journal reflects a vibrant research landscape, with several emerging themes gaining traction in recent years. These trends indicate a growing interest in interdisciplinary applications and advanced methodologies.
  1. Explainable AI (XAI):
    An increasing number of studies focus on developing explainable models that enhance transparency and interpretability in AI systems, especially in sensitive applications like healthcare and finance.
  2. Hybrid Models:
    Research integrating multiple methodologies, such as combining deep learning with fuzzy logic or evolutionary algorithms, is trending as it offers improved performance and robustness in various applications.
  3. Sustainability and Environmental Applications:
    There is a noticeable rise in research addressing sustainability challenges through soft computing methods, particularly in energy management, waste management, and resource optimization.
  4. Healthcare Applications:
    Soft computing techniques are increasingly applied in healthcare for diagnostics, treatment planning, and patient monitoring, reflecting a growing intersection between technology and health sciences.
  5. Internet of Things (IoT) and Smart Systems:
    Research exploring the integration of soft computing methods in IoT applications, focusing on smart environments, predictive maintenance, and real-time data analysis, is on the rise.

Declining or Waning

While "SOFT COMPUTING" continues to thrive in several key areas, certain themes have seen a decline in recent publications. This may reflect shifts in research focus or the maturation of specific methodologies.
  1. Classical Optimization Techniques:
    There has been a noticeable decline in the number of papers focusing on traditional optimization techniques, such as linear programming, as researchers increasingly favor soft computing and heuristic approaches.
  2. Basic Statistical Methods:
    Research that relies solely on basic statistical methods for analysis has become less prominent, with a shift towards more complex, data-driven methodologies that incorporate machine learning and soft computing.
  3. Standard Machine Learning Algorithms:
    The frequency of studies dedicated to standard machine learning algorithms, without the integration of soft computing techniques or advanced ensemble methods, appears to be waning as more researchers seek innovative approaches.

Similar Journals

International Journal of Intelligent Computing and Cybernetics

Pioneering Interdisciplinary Insights in Computing and Cybernetics
Publisher: EMERALD GROUP PUBLISHING LTDISSN: 1756-378XFrequency: 4 issues/year

The International Journal of Intelligent Computing and Cybernetics, published by EMERALD GROUP PUBLISHING LTD, serves as a pivotal platform for advancing the field of intelligent computing and cybernetics since its inception in 2008. With a strong focus on innovative research and interdisciplinary collaboration, this journal is positioned in the prestigious Q2 category of Computer Science, ranking at an impressive 42nd out of 232 in Scopus, reflecting an 82nd percentile performance. The journal provides a venue for scholars and practitioners to disseminate their findings on cutting-edge technologies and methodologies that bridge the realms of computing, artificial intelligence, and cybersecurity. Although currently not an open-access journal, it widely circulates valuable insights essential for driving forward academic discourse and practical applications in the rapidly evolving digital landscape. Researchers, professionals, and students are encouraged to engage with this journal to stay at the forefront of advancements in intelligent systems and cybernetic solutions.

Neural Network World

Advancing Knowledge in Neural Networks and Beyond
Publisher: ACAD SCIENCES CZECH REPUBLIC, INST COMPUTER SCIENCEISSN: 1210-0552Frequency: 6 issues/year

Neural Network World, published by the Academy of Sciences of the Czech Republic, Institute of Computer Science, is a preeminent journal dedicated to the fields of artificial intelligence, hardware and architecture, software engineering, and neuroscience. Since its inception in 1994, this journal has provided a platform for the dissemination of pioneering research and technical advancements in neural networks and their applications. Operating from the heart of Prague, this publication holds a Q4 quartile ranking across key categories, highlighting the growing interest and relevance in its multidisciplinary focus. Although it does not currently offer open access, its commitment to scholarly rigor ensures that readers engage with high-quality content, making it a valuable resource for researchers, professionals, and students alike. As the field evolves, Neural Network World serves as an essential forum for innovative ideas and critical discussions, reinforcing its significance in driving forward the future of technology and neuroscience.

Inteligencia Artificial-Iberoamerical Journal of Artificial Intelligence

Navigating the Complexities of AI Together.
Publisher: ASOC ESPANOLA INTELIGENCIA ARTIFICIALISSN: 1137-3601Frequency: 2 issues/year

Inteligencia Artificial-Iberoamerican Journal of Artificial Intelligence, published by the ASOC ESPANOLA INTELIGENCIA ARTIFICIAL, serves as a pivotal platform for disseminating cutting-edge research in the burgeoning fields of artificial intelligence and software development. Established in 1997 as an Open Access journal, it ensures broad accessibility to its scholarly content, thus fostering collaboration and knowledge exchange amongst researchers, professionals, and students across the globe. Based in Valencia, Spain, the journal currently operates within a significant timeline spanning from 2004 to 2010 and 2012 to 2024, enabling continual contributions to the academic discourse. Although it holds a Q4 quartile ranking in both the Artificial Intelligence and Software categories and a notable yet competitive Scopus ranking among its peers, the journal remains committed to advancing the understanding and application of sophisticated AI methodologies. As it continues to embrace innovative research, this journal stands as a crucial reference point for those keenly navigating the complexities of artificial intelligence in a rapidly evolving digital landscape.

International Journal of Automation and Computing

Empowering Research in Control and Systems Engineering
Publisher: SPRINGERNATUREISSN: 1476-8186Frequency: 6 issues/year

International Journal of Automation and Computing, published by SPRINGERNATURE, is a premier academic journal dedicated to advancing knowledge in the fields of applied mathematics, computer science applications, control and systems engineering, and modeling and simulation. With an impressive impact factor and consistently ranked in the Q1 Quartile for its respective categories in 2023, the journal is recognized for its high-quality research and contributions to the automation and computing sectors. This journal provides open access to its articles, promoting the dissemination of innovative ideas and methodologies across a global audience. Based in China but serving an international community, the journal is key for researchers, professionals, and students looking to stay at the forefront of automation and computing technologies. Its rigorous peer-review process ensures that published works meet the highest scientific standards, making it an essential resource for those seeking to deepen their understanding and engage in cutting-edge research.

JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING

Advancing Logic, Empowering Computation.
Publisher: OLD CITY PUBLISHING INCISSN: 1542-3980Frequency: 6 issues/year

Journal of Multiple-Valued Logic and Soft Computing, published by Old City Publishing Inc, is a dedicated forum for advancing the fields of logic and soft computing. Since its inception in 2003, this journal has positioned itself as a valuable resource for researchers, professionals, and students interested in the complex interplay between multiple-valued logic systems and computational methodologies. With a broader reach into theoretical computer science, the journal is categorized in the Q4 quartiles across key areas, showcasing its role in disseminating relevant research despite its current position. This peer-reviewed publication silos essential discussions and breakthroughs that serve as a foundation for ongoing innovation in logic and computing theories. Though not currently open access, the journal continues to attract critical contributions that underscore its commitment to advancing knowledge in mathematical logic and software development through its effective symposium-like format, promoting collaboration among various stakeholders in the scientific community.

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Pioneering Insights in Applied Mathematics and AI
Publisher: ELSEVIER SCIENCE INCISSN: 0888-613XFrequency: 8 issues/year

The INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, published by Elsevier Science Inc, stands as a pivotal resource in the domains of applied mathematics and artificial intelligence. Since its inception in 1987, the journal has evolved into a leader in its field, boasting an impressive impact factor and ranking within the top quartile for applied mathematics (Q1) and high standings in artificial intelligence and software categories according to the 2023 Scopus rankings. As researchers, professionals, and students delve into complex issues surrounding reasoning under uncertainty, this journal provides invaluable insights and cutting-edge research. In addition to its rich content, the journal's commitment to advancing knowledge in theoretical computer science further enhances its significance in fostering academic growth. While the journal does not currently offer open access, its rigorous peer-review process ensures that only high-quality, impactful studies are published, solidifying its role as an essential source for academics striving to remain at the forefront of their fields.

International Journal of Knowledge-Based and Intelligent Engineering Systems

Pioneering Insights in Knowledge-Driven Engineering
Publisher: IOS PRESSISSN: 1327-2314Frequency: 4 issues/year

The International Journal of Knowledge-Based and Intelligent Engineering Systems, published by IOS PRESS, serves as a vital platform for scholars and practitioners involved in the fields of Artificial Intelligence, Control and Systems Engineering, and Software Development. Founded in 2004 and continuously publishing through to 2024, this journal stands out with its comprehensive coverage of innovative methodologies and applications that leverage knowledge-based systems. Although currently listed in Q4 for Artificial Intelligence and Q3 for Control and Systems Engineering, it features an increasing trajectory in the scientific community, as indicated by its rankings in Scopus—which reflects the growing importance of intelligent engineering systems in contemporary research. With a commitment to disseminating cutting-edge research without open access constraints, this journal is essential for those seeking to understand and contribute to advancements in intelligent systems. Join a global community of researchers and industry leaders by engaging with the latest findings shared in this well-regarded journal.

Grey Systems-Theory and Application

Transforming Theory into Practical Applications in Grey Systems
Publisher: EMERALD GROUP PUBLISHING LTDISSN: 2043-9377Frequency: 4 issues/year

Grey Systems - Theory and Application is a premier journal dedicated to advancing the field of grey systems theory, which plays a pivotal role in addressing uncertainties in complex systems across various domains. Published by Emerald Group Publishing Ltd in the United Kingdom, this journal has established itself as a respected platform for innovative research, boasting a commendable 2023 impact factor reflected in its Q2 categorization in applied mathematics, computer science, and control systems engineering. With Scopus rankings placing it in the top tiers of its fields, it provides a robust forum for researchers, professionals, and students to explore theoretical developments and practical applications. The journal, which has been converged from 2011 to 2024, encourages open conversations on the theoretical underpinnings and real-world implications of grey systems, making it an essential resource for those looking to deepen their understanding and contribute meaningfully to this dynamic area of study.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Exploring New Dimensions in Intelligent Engineering
Publisher: IOS PRESSISSN: 1064-1246Frequency: 12 issues/year

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS is a premier publication dedicated to advancing the field of artificial intelligence, fuzzy systems, and related engineering disciplines. Published by IOS PRESS, this journal plays a vital role in disseminating innovative research and methodologies that push the boundaries of knowledge from its inception in 1993 through 2024. With an impact factor underscoring its significance, it maintains a strong reputation for quality and rigor, achieving Q3 in Artificial Intelligence and Q2 in Engineering (miscellaneous) as reported in 2023. Researchers can access invaluable insights into current trends and applications, making it an essential resource for professionals and scholars alike. The journal welcomes contributions that bridge theoretical advancements and practical implementations, fostering a community of interdisciplinary collaboration. Situated in the heart of the Netherlands, the JOURNAL OF INTELLIGENT & FUZZY SYSTEMS is committed to enhancing understanding in the realms of mathematics, statistics, and probability, with Scopus rankings reflecting its competitive edge across various fields.

APPLIED SOFT COMPUTING

Innovating solutions through soft computing applications.
Publisher: ELSEVIERISSN: 1568-4946Frequency: 12 issues/year

Applied Soft Computing is a premier international journal published by Elsevier, dedicated to advancing the field of soft computing in various applications. With an ISSN of 1568-4946 and E-ISSN of 1872-9681, it has established itself as a leading resource with a commendable impact factor and significant importance in its field. As of 2023, it ranks in the Q1 category of Software in Scopus, boasting a rank of 25 out of 407 journals in Computer Science, Software, representing the 93rd percentile among peers. The journal's primary objective is to publish high-quality, innovative research articles that explore soft computing methodologies and their applications across diverse domains, fostering interdisciplinary collaboration and advancing technological solutions. Based in the Netherlands, at Radarweg 29, 1043 NX Amsterdam, it serves as a vital platform for researchers, professionals, and students eager to contribute to and stay informed about the latest developments in soft computing.