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Vol. 3 No. 1 (2025): Online first section
					View Vol. 3 No. 1 (2025): Online first section
Published: 2024-07-13

Articles

  • Hybrid Approach for COVID-19 Vaccine Distribution

    Amalendu Si, Sujit Das, Samarjit Kar
    1-17
    DOI: https://doi.org/10.31181/dma31202546
  • Fuzzy Inventory Implementation of Minimum Value unused Storing Profitable by Executing Python

    Kalaiarasi Kalaiselvan
    18-30
    DOI: https://doi.org/10.31181/dma31202524
  • Development of A Decision Support System Algorithm for Human Resource Evaluation

    Irakli Basheleishvili, Giorgi Kapanadze
    31-39
    DOI: https://doi.org/10.31181/dma31202542
  • Performance of a Five-Layer ANN Model for Earthquake Magnitude Prediction and Spatial Risk Mapping in Turkey

    Saptadeep Biswas, Dhruv Kumar, Murat Nas, Mustafa Softa, Elif Akgün, Uttam Kumar Bera
    40-49
    DOI: https://doi.org/10.31181/dma31202553
  • News-Driven Volatility: A Deep Dive into Leading Nifty Healthcare Stocks

    Sonal Mohapatra; Sayan Chakraborty
    50-61
    DOI: https://doi.org/10.31181/dma31202554
  • Effect of Perceived Technology Acceptance on Online Stock Trading Behavior: An Empirical Analysis

    Jayalakshmi K U, Chidananda H L, Harshitha K
    62-69
    DOI: https://doi.org/10.31181/dma31202536
  • A Hybrid ANP-TOPSIS Method for Strategic Supplier Selection in Reverse Logistics under Rough Uncertainty: A Case Study in the Electronics Industry

    Farshid Hesami
    70-95
    DOI: https://doi.org/10.31181/dma31202545
  • Deep Learning Models for Intrusion Detection Systems in MANETs: A Comparative Analysis

    S. Saravanan, Showkat A. Dar, Aafaq A. Rather, Danish Qayoom, Irfan Ali
    96-110
    DOI: https://doi.org/10.31181/dma31202556
  • Performance Analysis of Indian Railway Zones using MCDM Approaches

    Soumyadeep Ganguly, Sugata Ray Chaudhury, Abheek Mukherjee, Amalendu Si
    111-125
    DOI: https://doi.org/10.31181/dma31202549
  • Towards Robust Network Security: Evaluating Machine Learning Algorithms for Intrusion Detection

    Hafiz Burhan Ul Haq, Rabia Younis, Muhammad Shujat Ali
    126-138
    DOI: https://doi.org/10.31181/dma31202559
  • Correlation Measures for q-rung Orthopair m-polar Fuzzy Sets with Application to Pattern Recognition

    Tahir Hamid Ch, Muhammad Abid, Khalid Naeem, Rana Muhammad Zulqarnain
    139-163
    DOI: https://doi.org/10.31181/dma31202560
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Decision Making Advances (DMA) publishes high-quality scientific papers that contribute significantly to the fields of decision-making, operational research, artificial intelligence, and applied mathematics. The material published is of high quality and relevance, written in a manner that makes it accessible to this wide-ranging readership. Decision Making Advances is an international peer-reviewed journal covering the main aspects of decision-making and providing a source of information for applied scientists.

  • Decision Making Advances encourages research endeavors that identify organizational risks and opportunities by exploiting patterns found in historical and transactional data.
  • Decision Making Advances promotes the application of simulation in enterprise and organizational contexts for examining and comparing options and scenarios prior to implementation.
  • Decision Making Advances promote research that can help decision-makers make the best choice by means of various optimization models.
  • Decision Making Advances invites research that supports the joint application of predictive models and optimization technology to create better solutions for decision-makers.
  • Decision Making Advances invites research that utilizes the latest techniques in data mining, analysis, and performance management to help decision-makers gain and sustain a competitive edge.

Decision Making Advances (DMA) aims at this important task by providing a venue for high-quality scientific papers that contribute significantly to the field of decision science and artificial intelligence. The material published is of high quality and relevance, written in a manner that makes it accessible to a wide-ranging readership. Papers reporting original theoretical and/or practice-oriented research or extended versions of the already published conference papers are all welcome. The scope of the journal covers the whole spectrum of decision science. Papers for publication are selected through a double-blind peer-review process to ensure originality, relevance, and readability. In doing that, the objective is not only to keep the quality of published papers high but also to provide a timely, thorough, and balanced review process.

General Journal guidelines for authors

Decision Making Advances publishes research articles, reviews, short communications, and case studies. Research articles must include: motivation for the work, an adequate overview of the representative work in the field including up-to-date references, a clear statement of the novelty in the presented research, suitable theoretical background, one or more examples to demonstrate and discuss the presented ideas and, finally, conclusions. Short communications are usually 4-7 pages long, research articles and case studies 8-14 pages, while reviews can be longer. Page number limits are not strict and, with appropriate reasoning, the submitted articles can also be longer or shorter. Authors are requested to follow the DMA guidelines and strictly format their manuscripts as per the article template that is available here.

If extensions of previously published conference papers are submitted, Editors will check if sufficient new material has been added to fulfill the journal standards and qualify the submission for the review process. The added material must have not been previously published. New results are desired but not necessarily required; however, the submission should contain expansions of key ideas, examples, elaborations, etc. of the conference submission.

Aims and Scope: The principal aim of the journal is to bring together the latest research and development in various fields of decision science. We would like to highlight that papers should refer to Aims and scope, but they are not limited to.

DMA’s acceptance rate is 35%. In 2023, the median time from submission to acceptance for all articles was 17 days and 22 days from acceptance to online publication in the ONLINE FIRST section. The ONLINE FIRST section of DMA lists the papers accepted for publication and copy-edited but not yet assigned to an issue.

Publication Frequency: One issue per year is published online, but processed and accepted papers, with full bibliographic data, are added to the issue continuously over the whole year.

Open Access: This is an open-access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission from the publisher or the author.

eISSN (Online): 2956-2384

Publication fee: Free of charge.

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