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  • Analytical chemistry.  (1)
  • Noncooperative games (Mathematics).  (1)
  • 2015-2019  (2)
  • 1
    Online Resource
    Online Resource
    Nanophotocatalysis and Environmental Applications : Materials and Technology (2019)
    Cham : Springer
    Details Availability
    Keywords: Analytical biochemistry ; Environmental chemistry ; Environmental Chemistry ; Green chemistry ; Nanotechnology ; Catalysis ; Analytical chemistry.
    Description / Table of Contents: 1. Nanostructured imprinted supported photocatalysts: Organic and inorganic matrixes -- 2. Supporting materials for immobilization of nanophotocatalysts -- 3. Non-metals (oxygen, sulfur, nitrogen, boron and phosphorus)-doped metal oxide hybrid nanostructures as highly efficient photocatalysts for water treatment and hydrogen generation -- 4. Challenges of synthesis and environmental applications of metal-free nano-heterojunctions -- 5. Perovskite-based materials for photocatalytic environmental remediation -- 6. Carbon Nitride-A Wonder Photocatalyst -- 7. Graphene and allies as a part of metallic photocatalysts -- 8. Silver-based photocatalysts- a special class -- 9. Green Synthesis of Novel Photocatalysts -- 10. Electrodeposition of Composite Coatings as a Method for Immobilizing TiO2 Photocatalyst -- 11. Spinning Disk Reactor technology in photocatalysis: nanostructured catalysts intensified production and applications
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (XIII, 336 p. 104 illus., 74 illus. in color)
    ISBN: 9783030106096
    Series Statement: Environmental Chemistry for a Sustainable World 29
    URL: https://doi.org/10.1007/978-3-030-10609-6
    DOI: 10.1007/978-3-030-10609-6
    Language: English
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  • 2
    Online Resource
    Online Resource
    Fuzzy Solution Concepts for Non-Cooperative Games : Interval, Fuzzy and Intuitionistic Fuzzy Payoffs. (2019)
    Cham :Springer International Publishing AG,
    Details
    Keywords: Noncooperative games (Mathematics). ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (175 pages)
    Edition: 1st ed.
    ISBN: 9783030161620
    Series Statement: Studies in Fuzziness and Soft Computing Series ; v.383
    URL: https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=5941213
    DDC: 519.29999999999995
    Language: English
    Note: Intro -- Preface -- Acknowledgements -- Contents -- 1 Matrix Games with Interval Payoffs -- 1.1 Matrix Games with Interval Payoffs -- 1.2 Existing Mathematical Formulation of Matrix Games with Interval Payoffs -- 1.3 Literature Review of Matrix Game with Interval Payoffs -- 1.4 Arithmetic Operations over Intervals -- 1.5 Flaws of the Existing Methods -- 1.6 Invalidity of Existing Mathematical Formulation of Matrix Games with Interval Payoffs -- 1.6.1 Existing Method to Obtain Mathematical Formulation of Matrix Games with Interval Payoffs -- 1.6.2 Mathematically Incorrect Assumptions Considered in the Existing Method -- 1.7 Minimum and Maximum of Intervals -- 1.7.1 Minimum of Intervals -- 1.7.2 Maximum of Intervals -- 1.8 Proposed Gaurika Method -- 1.8.1 Minimum Expected Gain of Player I -- 1.8.2 Maximum Expected Loss of Player II -- 1.9 Numerical Examples -- 1.9.1 Existing Numerical Example Considered by Nayak and Pal -- 1.9.2 Existing Numerical Example Considered by Li et al. -- 1.10 Conclusion -- References -- 2 Matrix Games with Fuzzy Payoffs -- 2.1 Matrix Games with Fuzzy Payoffs -- 2.2 Preliminaries -- 2.2.1 Some Basic Definitions -- 2.2.2 Arithmetic Operations of Trapezoidal Fuzzy Numbers -- 2.2.3 Comparison of Fuzzy Numbers -- 2.3 Existing Mathematical Formulation of Matrix Games with Fuzzy Payoffs -- 2.4 Literature Review of Matrix Games with Fuzzy Payoffs -- 2.5 Flaws of the Existing Methods -- 2.6 Invalidity of Existing Mathematical Formulation of Matrix Games with Fuzzy Payoffs -- 2.7 Proposed Mehar Method -- 2.7.1 Minimum Expected Gain of Player I -- 2.7.2 Maximum Expected Loss of Player II -- 2.8 Numerical Example -- 2.8.1 Minimum Expected Gain of Player I -- 2.8.2 Maximum Expected Loss of Player II -- 2.9 Conclusion -- References -- 3 Constrained Matrix Games with Fuzzy Payoffs -- 3.1 Constrained Matrix Games with Fuzzy Payoffs. , 3.2 Existing Mathematical Formulation of Constrained Matrix Games with Fuzzy Payoffs -- 3.3 Literature Review of Constrained Matrix Games with Fuzzy Payoffs -- 3.4 Flaws of the Existing Methods -- 3.5 Proposed Vaishnavi Method -- 3.5.1 Minimum Expected Gain of Player I -- 3.5.2 Maximum Expected Loss of Player II -- 3.6 Numerical Examples -- 3.6.1 Existing Numerical Example Considered by Li and Hong -- 3.6.2 Existing Numerical Example Considered by Li and Cheng -- 3.7 Conclusion -- References -- 4 Matrix Games with Intuitionistic Fuzzy Payoffs -- 4.1 Matrix Games with Intuitionistic Fuzzy Payoffs -- 4.2 Preliminaries -- 4.2.1 Basic Definitions -- 4.2.2 Arithmetic Operations over Trapezoidal Vague Sets -- 4.3 Existing Mathematical Formulation of Matrix Games with Intuitionistic Fuzzy Payoffs -- 4.4 Literature Review of Matrix Games with Intuitionistic Fuzzy Payoffs -- 4.5 Flaws of the Existing Methods -- 4.6 Proposed Ambika Methods -- 4.6.1 Ambika Method-I -- 4.6.2 Ambika Method-II -- 4.6.3 Ambika Method-III -- 4.6.4 Ambika Method-IV -- 4.7 Numerical Examples -- 4.7.1 Existing Numerical Example Considered by Nan et al. -- 4.7.2 Existing Numerical Example Considered by Li et al. -- 4.7.3 Existing Numerical Example Considered by Nan et al. -- 4.7.4 Existing Numerical Example Considered by Nan et al. -- 4.8 Conclusion -- References -- 5 Bimatrix Games with Intuitionistic Fuzzy Payoffs -- 5.1 The Difference-Index Based Ranking Method -- 5.2 Maximum of Trapezoidal Intuitionistic Fuzzy Numbers -- 5.3 Flaws in the Existing Mathematical Formulation of Bimatrix Games with Intuitionistic Fuzzy Payoffs -- 5.3.1 Mathematical Formulation of Bimatrix Games with Intuitionistic Fuzzy Payoffs -- 5.3.2 Mathematically Incorrect Assumption Considered by Li and Yang -- 5.4 Exact Solution of Bimatrix Games with Intuitionistic Fuzzy Payoffs. , 5.4.1 Exact Mathematical Formulation of Bimatrix Games with Intuitionistic Fuzzy Payoffs -- 5.4.2 Proposed Mehar Method -- 5.4.3 Convergence of the Proposed Mehar Method -- 5.5 Numerical Example -- 5.6 Conclusion -- References -- 6 Future Scope -- References.
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