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    Aggregation of Basic Uncertain Information With Two-Step Aggregation Frame
    (Ieee-Inst Electrical Electronics Engineers Inc, 2024) Jin, Lesheng; Chen, Zhen-Song; Pedrycz, Witold; Senapati, Tapan; Yatsalo, Boris; Mesiar, Radko; Beliakov, Gleb
    There exist various categories of uncertain information, and their corresponding methods of aggregation may also vary. At present, there exists a dearth of specifically tailored techniques for aggregating basic uncertain information (BUI). The present study introduces a two-step aggregation frame that is applicable to inputs of both real-valued and BUI-valued inputs. In the process of constructing such a frame, several novel notions and definitions are introduced. These comprise of extended aggregation operators with respect to a finite set and to a collection of subsets of the set, some certainty independent BUI aggregation and some certainty dependent BUI aggregation, BUI merging operators and BUI aggregation operators, BUI-valued min operator, and BUI-valued Sugeno integral. Some corresponding deductions, necessary reasoning and numerical examples are presented.
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    Intuitionistic fuzzy power aczel-alsina model for prioritization of sustainable transportation sharing practices
    (Elsevier, 2022) Senapati, Tapan; Simic, Vladimir; Saha, Abhijit; Dobrodolac, Momcilo; Rong, Yuan; Tirkolaee, Erfan Babaee
    Traffic congestion and environmental pollution generated by transportation activities significantly endanger the sustainable development of cities. This study presents a new strategy for implementing the concept of shared mobility, where postal operators use their widespread networks of units and serve as service providers. To enhance its real-world implementation, four sustainable transportation sharing practices are elaborated. The key question is how to identify the most sustainable alternative that should be offered by service providers. To resolve this challenge, this paper develops an advanced decision support model based on Aczel-Alsina aggregation operators and power operators within the intuitionistic fuzzy (IF) environment. The criteria weights are determined through the Shannon entropy-based power weighted method. Aczel-Alsina operations for IF numbers are proposed to aggregate the decision information. In light of these operational laws, two IF Aczel-Alsina aggregation operators and their enviable characteristics are provided. These advanced aggregation operators are used to formulate the IF power Aczel-Alsina model. The case study of the city of Novi Sad illustrates its applicability. According to the research findings, it is recommended that the public postal operator invests in a sharing e-bicycle fleet. The comparative investigation demonstrates the superiority of the developed decision support model. Its major strengths are simple calculation and fast information processing. © 2022 Elsevier Ltd
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    Neutrosophic CEBOM-MACONT model for sustainable management of end-of-life tires
    (Elsevier, 2023) Simic, Vladimir; Dabic-Miletic, Svetlana; Tirkolaee, Erfan Babaee; Stevic, Zeljko; Deveci, Muhammet; Senapati, Tapan
    Management of end-of-life tires (ELTs) has evolved into an important sustainability requirement that should follow circular economy principles. It is increasingly important to find environmentally -friendly and cost-effective solutions for ELT management, particularly in the context of large freight transportation companies. Selecting the most sustainable solution from the set of available ELT management strategies, such as retreading, recycling, energy recovery, and landfilling, presents a decision-making challenge for authorities. This study aims to introduce a practical evaluation frame-work comprised of strategy alternatives and key decision-making criteria to support transportation companies in managing ELT flows. Also, the research introduces an advanced two-stage neutrosophic decision support model to solve the addressed problem and reveal the most sustainable strategy. The model is based on the integration of the cross-entropy-based optimization model (CEBOM) method and mixed aggregation by comprehensive normalization technique (MACONT) under the type -2 neutrosophic number (T2NN) environment. Prominent features of T2NN-CEBOM are hybrid weighting sub-framework and processing controllability. Distinguished characteristics of T2NN-MACONT are av-erage referencing, triple-normalization support, modeling of risk attitude behavior, adjustable ordering schemes, and an advanced scoring system. The real-life study of one of the largest German freight transportation companies that operates along an important European transit route offers practical insights for decision-makers when evaluating ELT management strategies. The research findings show that retreading is the most sustainable solution. The eight sensitivity analyses confirm the high robustness of the introduced decision-support model. The comparative analysis reveals the superiority of T2NN-CEBOM-MACONT for employment in practical settings.& COPY; 2023 Elsevier B.V. All rights reserved.