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Complex & Intelligent Systems

Complex & Intelligent Systems OnlineFirst articles

09.01.2019 | Original Article Open Access

Multi-granulation Pythagorean fuzzy decision-theoretic rough sets based on inclusion measure and their application in incomplete multi-source information systems

Multi-granulation rough sets (MGRSs) and decision-theoretic rough sets (DTRSs) are two important and popular generalizations of classical rough sets. The combination of two generalized rough sets have been investigated by numerous researchers in …

03.01.2019 | Original Article Open Access

A new attribute sampling plan using neutrosophic statistical interval method

In the classical statistics, for the inspection of a final lot of the product, a decision is made either the lot has good quality or not using an acceptance sampling plan. The acceptance of sampling using the classical statistics assumes that data …

03.01.2019 | Original Article Open Access

Certain graphs under Pythagorean fuzzy environment

Graph theory plays crucial role in structuring many real-world problems including, medical sciences, control theory, expert systems and network security. Product in graphs, an operation that consider two graphs and produce a new graph by simple or …

27.12.2018 | Original Article Open Access

AHP–TOPSIS integration extended with Pythagorean fuzzy sets for information security risk analysis

Risk analysis (RA) contains several methodologies that object to ensure the protection and safety of occupational stakeholders. Multi attribute decision-making (MADM) is one of the most important RA methodologies that is applied to several areas …

04.12.2018 | Original Article Open Access

LSHADE-SPA memetic framework for solving large-scale optimization problems

During the last decade, large-scale global optimization has been one of the active research fields. Optimization algorithms are affected by the curse of dimensionality associated with this kind of complex problems. To solve this problem, a new …

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Über diese Zeitschrift

Complex & Intelligent Systems is a peer-reviewed open access journal published under the SpringerOpen brand.

Complex & Intelligent Systems has been recently selected for coverage in Thomson Reuter’s products and services. Beginning with V. 2 2016, the journal will be indexed and abstracted in:

♦ Emerging Sources Citation Index

Complex & Intelligent Systems aims to provide a forum for presenting and discussing novel approaches, tools and techniques meant for attaining a cross-fertilization between the broad fields of complex systems, computational simulation, and intelligent analytics and visualization. The transdisciplinary research that the journal focuses on will expand the boundaries of our understanding by investigating the principles and processes that underlie many of the most profound problems facing society today.

Key topics of focus include:

  • Complexity
    - Complex evolutionary and adaptive Systems
    - Emergent properties and behavior in complex Systems
    - Self-organizing collective systems
    - Biological and social inspirations in problem solving
    - Systems Science and Engineering
  • Intelligent Data Analytics
    - Data mining and knowledge discovery
    - Machine learning
    - Pattern recognition
    - Big Data Analytics and data science
    - Data-driven problem solving
  • Computational Simulation
    - Knowledge-based Systems
    - Agent based Systems
    - Uncertainty modeling
    - Decision support Systems
    - Brain-like computing
    - Ubiquitous computing
    - Computational visualization and interaction

Complex & Intelligent Systems is an Open Access journal supported by King Abdulaziz City for Science and Technology (KACST, Kingdom of Saudi Arabia).

The open access fees (article-processing charges) for this journal are kindly sponsored by KACST. Authors can publish in the journal without any charges.

Every year the KACST medal and a prize of $5000 will be awarded to the best article published in Complex & Intelligent Systems.

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