Intelligent Decision Technologies (IDT)

Intelligent Decision Technologies (IDT) is a well‑established quarterly academic journal first published in 2007 that provides a leading interdisciplinary platform for research on intelligent systems and technologies that enhance or support human and automated decision‑making. Covering both foundational theory and practical systems development, IDT publishes original research articles, surveys, reviews and case studies addressing advances in computational intelligence, machine learning, fuzzy approaches, evolutionary algorithms, neural systems, agent‑based models, decision support tools, and hybrid intelligent technologies. Its scope bridges computer science, information systems, engineering, data analytics and business technology, reflecting the broad application domains where intelligent decision systems play a crucial role — from healthcare and finance to network management and crisis response. The journal emphasizes contributions that both advance understanding of decision models and algorithms and demonstrate real‑world impact through innovative design, evaluation and implementation of intelligent frameworks. With an international editorial board and rigorous peer review, IDT facilitates scientific discourse among researchers, practitioners and policymakers interested in computationally grounded methods that improve decision quality, efficiency and adaptability. As part of SAGE Publications’ portfolio (formerly published by IOS Press), the journal supports the dissemination of high‑quality research that drives forward the theory and practice of decision technologies in the 21st century.

Intelligent Decision Technologies (IDT) is :-

• International, Peer-Reviewed, Open Access, Refereed, Artificial Intelligence, Decision Sciences (miscellaneous), Human-Computer Interaction, Statistics and Probability, Fuzzy logic, genetic algorithms, intelligent agents and multi‑agent systems, Decision support systems (DSS), cognitive computing and knowledge representation, Human‑computer interaction and data analytics , Online or Print , Quarterly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 1872-4981, E-ISSN: 1875‑8843, Established: 2007, Impact Factor: 0.8
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE