This research article proposes the use of an uncertainty–certainty matrix (UCM) for licensing decision making in the human services, which is the decision to issue a license to operate. It is a proposed study protocol and conceptual framework;...
Identifying critical road sections that require prompt attention is essential for road agencies to prioritize monitoring, maintenance, and rehabilitation efforts and improve overall road conditions and safety. This study suggests a decision matrix wi...
In multi-scale information systems, the information is often characterized at multi scales and multi levels. To facilitate the computational process of multi-scale information systems, we employ the matrix method to represent the multi-scale informat...
Background: Intrahepatic cholangiocarcinoma (ihCC) is a rare aggressive liver malignancy with rising incidence. For resectable cases, surgery is the only curative approach, but recurrence rates remain high. These challenges highlight the need for per...
This study introduces a structured approach for assessing value creation in supplier–buyer relationships by evaluating key value-creation indicators. Recognising strategic collaboration in B2B, the research focuses on identifying key indicators...
The extent of casualty and property loss due to chemical accidents depends on how well the emergency action plan was established in advance and how fast the warning notice and evacuation orders are given to the public. Assistant methods for the estab...
An innovative decision matrix has been developed to guide the selection and implementation of Pneumatic Urban Solid Waste Collection Systems (PUSWCS) in smart city projects. This study comprehensively collects and analyzes data on the advantages and...
We present S2VDT, a two-party secure vertical decision tree framework built on a suite of matrix-level secure operators, including matrix multiplication, the Hadamard product, reciprocal, and vector comparison. These operators, constructed from addit...
The post-COVID-19 tourism recovery exposes a structural divergence between economic resilience and environmental sustainability. Traditional tourism planning metrics consistently fail to diagnose how macroeconomic growth dynamics decouple from enviro...
Industries have to integrate environmental, social, and economic aspects into their supply chain management to achieve sustainability. Hence, the industry needs to take appropriate actions in choosing the right suppliers. The aim of this study is to...
Fuzzy multi-criteria decision making (FMCDM) is a critical field that addresses the inherent uncertainty and imprecision in complex decision scenarios. This study tackles the significant challenge of evaluating energy storage technologies (ESTs) in V...
The widespread application of road deicing salts in northern regions has led to elevated salinity in roadside soils and adjacent watersheds. Phytoremediation offers a cost-effective and sustainable approach for mitigating salt contamination, but its...
Rising cooling demand in hot-arid climates requires passive, low-energy building strategies that can be compared across heterogeneous evidence. This study develops a PRISMA-informed systematic mapping review and an evidence-based energy-efficiency de...
The article focuses on systems analysis in identifying optimal areas for using distributed energy sources in the agro-industrial complex. Applying a systems approach enables a comprehensive assessment of various aspects of solar energy, wind energy,...
In this paper, we define characteristic axioms for 3D matrix games and extend the definitions of the decision criteria under uncertainty to three dimensions in order to investigate the simultaneous effect of two different states on the decision proce...
In the framework of (fuzzy) Multi-Criteria Decision-Making, we propose a method that allows decision-makers to subjectively approach problems by suitably modifying a decision matrix. We consider a decision problem related to a random quantity X with...
30 April 2025
Food environments (the interfaces between consumers and the broader food system) shape dietary change and associated health outcomes. Characteristics of food environments (e.g., availability, accessibility, affordability, convenience, desirability) c...
The National Weather Service is responsible for alerting wildland fire management of meteorological conditions that create an environment conducive for extreme fire behavior. This is communicated via Red Flag Warnings (RFWs), which presently lack a n...
A performance evaluation matrix (PEM) is an evaluation tool for assessing customer satisfaction and the importance of service items across various services. In addition, inferences based on point estimates of sample data can increase the risk of misj...
This paper presented a new approach to decision making support of defects assessment in metal matrix composites (MMC). It is a continuation of the authors’ papers in terms of a uniform method of casting defects assessment. The idea of this pape...
Artificial Bee Colony (ABC) is a Swarm Intelligence optimization algorithm well known for its versatility. The selection of decision variables to update is purely stochastic, incurring several issues to the local search capability of the ABC. To addr...
The current study delves into a fuzzy matrix decision-making problem involving fuzzy sets of states. It establishes that a maximum guaranteed payoff constitutes a type-2 fuzzy set defined on the real line. Additionally, it provides the associated typ...
The purpose of this study is to develop a framework that will provide the services marketing manager a systematic, holistic and transparent means of enhancing sustainability performance through the marketing function. We review the literature dealing...
South Africa has experienced an increase in the number of African swine fever (ASF) outbreaks in domestic pigs in the last ten years. Intervention will be needed in the form of control and prevention strategies to minimise the impact of this disease...
In this paper, we study the matrix representation of fuzzy soft sets, complement of fuzzy soft sets, product of fuzzy soft matrices and the application of fuzzy soft matrices in medical diagnosis presented by Lavanya and Akila. Additionally, a new me...
Cloud computing is widely used by organizations and individuals to outsource computation and data storage. With the growing adoption of machine learning as a service (MLaaS), machine learning models are being increasingly deployed on cloud platforms....
Food safety and quality analysis is shifting from laboratory-based end-point testing toward faster, lower-volume and matrix-adapted on-site decision-making. Near-infrared (NIR), visible-near-infrared (Vis-NIR), hyperspectral, Raman, surface-enhanced...
Buildings are major energy consumers, accounting for a significant portion of global energy consumption. Integrating hydrogen systems, electrolyzers, accumulation, and fuel cells is proposed as a clean and efficient energy alternative to mitigate thi...
Matrix energy is a valid mathematical tool for representing collective information. However, it is not used in the existing literature for fuzzy sets, intuitionistic fuzzy sets, and multi-attribute group decision making (MAGDM) problems, which highli...
Greywater reuse presents a promising strategy for reducing potable water demand and supporting the irrigation of urban green infrastructure, yet its implementation in early planning phases remains limited by fragmented regulations, data gaps, and the...
The decision tree is one of the most important and representative classification algorithms in the field of machine learning, and it is an important technique for solving data mining classification tasks. In this paper, a decision tree classification...
As one of the main elements of reinforcement learning, the design of the reward function is often not given enough attention when reinforcement learning is used in concrete applications, which leads to unsatisfactory performances. In this study, a re...
Attribute reduction has been demonstrated to be an effective approach for addressing fuzziness and uncertainty in data analysis, especially for data dimension reduction. As an extension of graphs, hypergraphs have been established by prior research a...
We define the group measure matrix of the alternative scheme and the ideal scheme based on the relevant factor sequence and the system characteristic behavior sequence. Furthermore, the information distances of decision makers and decision criteria a...
In this work, we discuss an opportunity to use a set of the matrix metalloproteinases MMP-1, MMP-8, and MMP-9 and the tissue inhibitor TIMP, the concentrations of which can be easily obtained via a blood test from patients suffering from tuberculosis...
Background: Warehouse location and freight vehicle selection are two strategic decisions that significantly influence the efficiency of industrial distribution systems. Although these decisions are usually addressed separately, they can be organized...
The basic idea underneath the generalized intuitionistic fuzzy soft set is very constructive in decision making, since it considers how to exploit an extra intuitionistic fuzzy input from the director to make up for any distortion in the information...
In this paper, we propose a novel, highly accurate numerical algorithm for matrix exponentials (MEs). The algorithm is based on approximating Putzer’s algorithm by analytically solving the ordinary differential equation (ODE)-based coefficients...
In the design process, design changes are unavoidable due to the need to meet customers’ requirements and support future change through technology development. Although components are supposed to be renewed within existing designs, these changes can...
The growing energy demand of the industrial sector and the need for sustainable solutions highlight the importance of efficient decision making in solar photovoltaic (PV) implementation. Selecting optimal PV configuration is complex due to the interd...
Artificial intelligence (AI) helps people improve decision-making in uncertain environments. When there is an AI decision maker (DM) in a large-scale group, how can consensus be reached? We address this problem by developing a hybrid human–AI c...
Many of the techniques for making decisions, including land use, depend on the weight assigned for each criterion. These criteria can be based on a panel of experts’ opinions, who assess certain decisions’ influence on the final objectives. These opi...
Renewable energy sources provide an important solution in environmental protection activities and in the process of shaping sustainable development. The search for optimal locations enabling full exploitation of the energy intensity of real estate pr...
14 August 2015
The risk assessment matrix is a widely accepted, semi-quantitative tool for assessing risks, and setting priorities in risk management. Although the method can be useful to promote discussion to distinguish high risks from low risks, a published crit...
The rapid integration of generative artificial intelligence (AI) into newsroom workflows has transformed journalistic writing. Still, selecting reliable co-writing tools remains a multi-criteria challenge as it involves technical, ethical, and econom...
Shipyard digital transformation is often framed as an end-state technology program, yet managers must first determine where implementation should begin. This study develops a staged decision-support framework for Tuzla newbuilding shipyards. Fourteen...
Concept lattice has been successfully applied to various fields as an effective tool for data analysis and knowledge discovery, with attribute reduction being the key problem. This paper combines the intuitionistic fuzzy theory with the concept latti...
This research article investigates the synergies between artificial intelligence (AI), digital transformation (DT), and financial reporting systems within the business context. The central theme explores how organizations enhance their decision-makin...
We propose introducing fairness constraints to one of the most famous multi-criteria decision-making methods, the analytic hierarchy process (AHP). We offer a solution that guarantees consistency while respecting legally binding fairness constraints...
Urban wind energy has emerged as an attractive source of distributed generation in cities to achieve sustainable development goals. The advancement in technologies for the use of urban wind energy has offered an alternative for the decarbonization of...
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