Some complex probabilistic hesitant fuzzy aggregation operators and their applications to multi-attribute decision making by Yanpo Yang, Baoquan Ning, Fengjuan Tian, Guihui Lu

“…Abstract As a generalization of complex fuzzy set (CFS), complex hesitation fuzzy set (CHFS) is a powerful tool to express two-dimensional fuzzy information, but it ignores the randomness that exists widely in real life. Considering the randomness and ambiguity often simultaneously occur in real-world problems, we come up with an innovative fuzzy set called complex probabilistic hesitant fuzzy set (CPHFS) in this article, which is a joint extension of CFS and probabilistic hesitant fuzzy set (PHFS). …”
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Application of K-means algorithm based on A-D model in calling abnormal customer mining by Jian ZHOU, Yongge SHI, Meibin HE

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Economical heuristics for fully interval integer multi-objective fuzzy and non-fuzzy transportation problems by Baranwal Tarishi, Akilbasha A.

“…The single-objective fuzzy or non-fuzzy transportation problem (TP) is not capable of dealing with real-life decision-making problems due to our current competitive market state. …”
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Decentralized and autonomous behavior decision-making for UAV cluster by HU Weijun, ZHANG Weijie, YIN Wei, XIONG Jingyi

“…It is difficult for conventional methods like the diagram theory in a complex environment to carry out modeling and calculation so as to make large-scale cluster behavior decisions. Hence, this paper studies small fixed wings and establishes the decentralized behavior decision-making model for a UAV cluster that has communication limitations and scale ceiling effects. …”
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Enhancing energy resilience in enterprises: a multi-criteria approach by Pholoso Lebepe, Tebello N. D. Mathaba

“…Existing multi-criteria decision-making (MCDM) methods, such as the analytic hierarchy process (AHP), best–worst method (BWM), and unaugmented TOPSIS, often lack advanced risk prioritization and objective criteria weighting, limiting their effectiveness in addressing complex, multidimensional energy challenges. …”
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Optimal location selection for digital television signal booster towers in poorly covered areas: application of the EDIS multi-criteria decision-making method by Mehdi Soltanifar

“…The method considers various cost and benefit criteria, including annual maintenance cost, tower price, signal sensitivity and boosting power, unmet quality standards, operator complexity level, and interference resistance, to determine the most suitable locations for tower placement.Findings: The application of the EDIS method to a real-world case study demonstrates significant improvements in decision-making accuracy and efficiency over existing methods, offering enhanced support for optimal decision-making in the placement of digital television signal booster towers.Originality/Value: The proposed EDIS method presents a novel multi-criteria decision-making tool that combines innovative features with advanced optimization capabilities. …”
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Is human-like decision making explainable? Towards an explainable artificial intelligence for autonomous vehicles by Jiming Xie, Yan Zhang, Yaqin Qin, Bijun Wang, Shuai Dong, Ke Li, Yulan Xia

“…An empirical investigation using real driving trajectory data from Kunming, China, confirms the ability of our approach to predict potential driving decisions with high accuracy while providing the rationale implicit AV decisions. …”
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Improvements of Decision Support Systems for Public Administrations via a Mechanism of Co-creation of Value by Tindara Abbate, Clara Bassano, Giuseppe D’Aniello, Sergio Miranda, Mirko Perano, Paolo Piciocchi, Luigi Rarità

“…This paper focuses on a possible improvement of knowledge-based decision support systems for human resource management within Public Administrations, using a co-creation of value’s mechanism, according to the Service-Dominant Logic (SDL) paradigm. …”
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Hybrid Models of Atmospheric Block Columns of Primary Oil Refining Unit Under Conditions of Initial Information Deficiency by Batyr Orazbayev, Zhadra Kuzhuhanova, Kulman Orazbayeva, Gulzhan Uskenbayeva, Zhanat Abdugulova, Ainur Zhumadillayeva

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A novel method for intelligent operation and maintenance of transformers using deep visual large model DETR + X and digital twin by Xuedong Zhang, Wenlei Sun, Ke Chen, Shijie Song

“…Abstract To achieve real-time monitoring and intelligent maintenance of transformers, a framework based on deep vision and digital twin has been developed. …”
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Prioritized aggregation operators for Schweizer-Sklar multi-attribute decision-making for complex spherical fuzzy information in mobile e-tourism applications by Khawlah Alhulwah, Muhammad Azeem, Mehwish Sarfraz, Nasreen Almohanna, Ali Ahmad

“…Complex spherical fuzzy sets (CSFSs) are a theory that addresses confusing and unreliable information in real-life decision-making contexts by integrating elements of two theories: spherical fuzzy sets (SFSs) and complex fuzzy sets (CFSs). …”
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Prediction of induction motor faults using machine learning by Ademola Abdulkareem, Tochukwu Anyim, Olawale Popoola, John Abubakar, Agbetuyi Ayoade

“…Predictive maintenance, utilizing advanced technologies like data analytics, machine learning, and IoT devices, offers real-time equipment data monitoring and analysis. …”
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Development of a clinical decision support tool for Primary care Management of lower Urinary tract Symptoms in men: the PriMUS study by Adrian Edwards, Ridhi Agarwal, Janine Bates, Alison Bray, Sarah Milosevic, Emma Thomas-Jones, Michael Drinnan, Marcus Drake, Peter Michell, Bethan Pell, Haroon Ahmed, Natalie Joseph-Williams, Kerenza Hood, Yemisi Takwoingi, Chris Harding

“…General practitioner access to simple, accurate tests and clinical decision tools could facilitate management of lower urinary tract symptoms in primary care. …”
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Power Controlled Resource Allocation and Task Offloading via Optimized Deep Reinforcement Learning in D2D Assisted Mobile Edge Computing by Sambi Reddy Gottam, Udit Narayana Kar

“…The proposed DRL model uses the Markov decision process (MDP) to facilitate collaborative task offloading between end devices and MEC servers, deriving an optimal policy for offloading and resource allocation. …”
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Neuromodulation of risk and reward processing during decision making in individuals with general anxiety disorder (GAD) by Vahid Nejati, Jamal Amani Rad, Amir Hosein Hadian Rasanan

“…The vmPFC is more relevant for value-based decision making with a positive expectation and chance-based randomness, whereas the dlPFC is more relevant for logic-based decision making.…”
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“Simplifying” Digital Complexity? A Socio-Technical Perspective. Editorial Introduction to Issue 33 of CSIMQ by Mikko Rajanen, Aurelio Ravarini

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Justification of the approach to identifying promising managers for project management by I. M. Kazymov, B. S. Kompaneets

“…It is shown that based on the developed approach, reasonable and strategically correct management decisions can be made. It can be used at enterprises in the real sector of the economy when making decisions on the appointment of project managers to improve the efficiency of work to achieve the goals stated in the project as well as for educational purposes to form decision-making skills and evaluate candidates for leadership positions.…”
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Almost contact metric 3-submersions by Bill Watson

“…Concommitantly, relations are derived between the Betti numbers of a compact total space and the base space. …”
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Optimizing Multimodal Transportation: A Novel Decision-Making Approach With Fuzzy Risk Assessment by R. Muthunandhini, K. Palanivel

“…The results underscore the potential of this hybrid methodology to enhance decision-making in complex, real-world transportation scenarios. …”
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Situational model of financial support for construction in the framework of project implementation in the Russian Federation by D. A. Borisyuk, O. E. Astafyeva

“…The analysis confirms the positive trend of the current construction financing model in the project implementation, creating conditions to stimulate the economy by reallocating funds to the real sector and providing a variety of tools in choosing construction financing methods to make rational management decisions on project implementation. …”
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