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  • Reliable Decision-Making for Sustainable Transportation

    Reliable Decision-Making for Sustainable Transportation by Haseli, Gholamreza; Hajiaghaei-Keshteli, Mostafa; Moslem, Sarbast;

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        59 807 Ft (56 959 Ft + 5% áfa)
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    59 807 Ft

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    Beszerezhetőség

    Még nem jelent meg, de rendelhető. A megjelenéstől számított néhány héten belül megérkezik.

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    A beszerzés időigényét az eddigi tapasztalatokra alapozva adjuk meg. Azért becsült, mert a terméket külföldről hozzuk be, így a kiadó kiszolgálásának pillanatnyi gyorsaságától is függ. A megadottnál gyorsabb és lassabb szállítás is elképzelhető, de mindent megteszünk, hogy Ön a lehető leghamarabb jusson hozzá a termékhez.

    A termék adatai:

    • Kiadó Academic Press
    • Megjelenés dátuma 2025. szeptember 1.

    • ISBN 9780443337406
    • Kötéstípus Puhakötés
    • Terjedelem oldal
    • Méret 235x191 mm
    • Nyelv angol
    • 700

    Kategóriák

    Hosszú leírás:

    Reliable Decision-Making for Sustainable Transportation explores decision-making methods that incorporate expert and decision-maker opinions for improved reliability. The book examines fuzzy sets that capture ambiguity and enable a more comprehensive analysis of stakeholder perspectives, focusing on transportation case studies to demonstrate techniques for weighing criteria, ranking alternatives, and selecting optimal and reliable decisions. It seeks to advance transportation planning, traffic engineering, road safety, and sustainability by integrating state-of-the-art decision support systems that leverage AI and multiple stakeholder viewpoints.

    This approach will benefit researchers and professionals across transportation, decision sciences, supply chain management, and operations looking for innovative ways to model uncertainty and decision-maker reliability and providing methodologies and frameworks for more robust group decisions.


    • Introduces reliability concepts in decision-making, providing insights into the robustness of strategic choices for sustainable transportation
    • Presents practical case studies within the transportation sector to illustrate the application of reliability principles in decision-making, offering tangible solutions to everyday challenges
    • Provides reliable strategies for existing public transportation systems, considering the unique challenges faced by investment departments and engineers in the planning process

    Több

    Tartalomjegyzék:

    1. An overview of Group Decision-Making Reliability for Sustainable Transportation (Concepts, Methodologies, Applications, and systems)
    2. Citizen Participation and Transport sustainability: A Reliable Analytic Hierarchy Process Model under Fuzzy ZE-numbers
    3. Strategies for Adapting to Dynamic Transportation Challenges: Reliable Framework Under Fuzzy ZE-BWM
    4. Road Traffic Accident Based on the Behavior Attributes in Transportation: Consolidating Perspectives of Experts and Decision-Makers Under Fuzzy ZE-BCM
    5. Assessment of relief transport challenges in areas with old infrastructure based on the reliability concept of ZE numbers
    6. Decision Support Reliability Based on the Fuzzy ZE-LMAW in Urban Climate Change Policy for Transportation Activities
    7. Consolidating perspectives of experts and decision-makers by Fuzzy ZE-TOPSIS on the sustainable urban transportation system
    8. Assessment of Perishable goods Transportation Challenges using Decision-Making under Fuzzy ZE-numbers
    9. Fuzzy ZE-VIKOR for Estimating Sustainable Mobility System
    10. Enhancing Urban Transportation with Fuzzy ZE-Trust-Based Decision-Making for Metaverse Integration
    11. Machine Learning Techniques in Road Safety: An Investigation into Applications, Challenges, and Opportunities
    12. Integrating Urban Form, Transportation, and Energy Efficiency: A Reliable Guide for Decision-Makers Towards Sustainable Urban Mobility
    13. Enhancing Citizen Engagement in Transportation Decision-Making Planning through Digital Voting using Artificial Intelligence
    14. Bibliometric Analysis in Artificial Intelligence and Transportation: Evaluation of Research and Future Perspectives
    15. Artificial Intelligence in Reliable Group Decision-Making for Sustainable Smart Transportation
    16. Driving Towards Efficiency: Analysis of Driver Behavior and Fuel Consumption through Machine Learning

    Több