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Vol. 2 No. 1 (2024): Decision Making Advances
					View Vol. 2 No. 1 (2024): Decision Making Advances
Published: 2024-01-05

Articles

  • Evaluation based on Relative Utility and Nonlinear Standardization (ERUNS) Method for Comparing Firm Performance in Energy Sector

    Sanjib Biswas, Dragan Pamucar, Satirtha Dawn, Vladimir Simic
    1-21
    DOI: https://doi.org/10.31181/dma21202419
  • Optimizing Priority Sequencing Rules in Parallel Machine Scheduling: An Evaluation and Selection Approach using Hybrid MCDM Techniques

    Ibrahim Badi, Mouhamed Bayane Bouraima, Yanjun Qiu, Željko Stević
    22-31
    DOI: https://doi.org/10.31181/dma21202422
  • Supplier Selection in the Age of Industry 4.0: A Review on MCDM Applications and Trends

    Sushil Kumar Sahoo, Shankha Shubhra Goswami, Rohit Halder
    32-47
    DOI: https://doi.org/10.31181/dma21202420
  • From Ambiguity to Clarity: Unraveling the Power of Similarity Measures in Multi-Polar Interval-Valued Intuitionistic Fuzzy Soft Sets

    Muhammad Saqlain, Muhammad Saeed
    48-59
    DOI: https://doi.org/10.31181/dma21202421
  • Transfer Learning Empowered Bone Fracture Detection

    Muhammad Daniyal Baig, Hafiz Burhan Ul Haq, Waseem Akram, Awais Shahzad
    60-72
    DOI: https://doi.org/10.31181/dma21202426
  • Sustainable Delivery Model Selection using AROMAN Approach

    Momčilo Dobrodolac, Sara Bošković, Stefan Jovčić, Dragan Lazarević
    73-82
    DOI: https://doi.org/10.31181/dma21202429
  • Marine Object Detection using YOLOv4 Adapted Convolutional Neural Network

    Muhammad Daniyal Baig, Hafiz Burhan Ul Haq
    83-91
    DOI: https://doi.org/10.31181/dma21202428
  • Analysis of Critical Success Factors of Logistics 4.0 using D-number based Pythagorean Fuzzy DEMATEL method

    Bindu Nila, Jagannath Roy
    92-104
    DOI: https://doi.org/10.31181/dma21202430
  • Multi-Attribute Decision-Making for T-Spherical Fuzzy Information Utilizing Schweizer-Sklar Prioritized Aggregation Operators for Recycled Water

    Mehwish Sarfraz
    105-128
    DOI: https://doi.org/10.31181/dma21202425
  • Brain Tumor Detection Enhanced with Transfer Learning using SqueezeNet

    Muhammad Daniyal Baig, Hafiz Burhan Ul Haq, Waseem Akram, Aamir Mushtaq Awan
    129-141
    DOI: https://doi.org/10.31181/dma21202432
  • Developing a Sales Dashboard with Power BI – A Case Study in a Pharmaceutical Company

    Mariem Belghith Ep Kallel, Sana Bouajaja, Abdelkarim Elloumi
    142-147
    DOI: https://doi.org/10.31181/dma21202438
  • Ranking Performance of MARCOS Method for Location Selection Problem in the Presence of Conflicting Criteria

    Ahmed El-Araby, Ibrahim Sabry, Ahmed El-Assal
    148-162
    DOI: https://doi.org/10.31181/dma21202435
  • Maclaurin Symmetric Mean Aggregation Operators Based on Novel Frank T-Norm and T-Conorm for Picture Fuzzy Multiple-Attribute Group Decision-Making

    Mehwish Sarfraz
    163-185
    DOI: https://doi.org/10.31181/dma21202423
  • Exploring the Relationship between Financial Performance Indicators, ESG, and Stock Price Returns: A Rough Set-based Bipolar Approach

    Kao Yi Shen
    186-198
    DOI: https://doi.org/10.31181/dma21202434
  • Implementation of Effective Supply Chain Management Practice in the National Oil Corporation in Developing Country: An Integrated BWM-AROMAN approach

    Clement Kiprotich Kiptum , Mouhamed Bayane Bouraima, Badi Ibrahim , Elizabeth Abosede Oloketuyi , Opeyemi Oluyemisis Makinde , Yanjun Qiu
    199-212
    DOI: https://doi.org/10.31181/dma21202439
  • Postal Operators as Providers of Shared Mobility Concept – An Analysis by Combined SWOT and AHP

    Momčilo Dobrodolac, Dragan Lazarević, Stefan Jovčić
    213-221
    DOI: https://doi.org/10.31181/dma21202447
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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 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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