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Fuzzy Modeling Systems in Engineering, Science and Technology
Submission DeadlineMay 10, 2020

Online submission system: http://www.sciencepublishinggroup.com/login

Lead Guest Editor
Department of Mathematics, Arul Anandar College (Autonomous), Karumathur, Tamil Nadu, India
Guest Editors
  • Ritha W
    Department of Mathematics, Holy Cross College, Trichy, India
  • Merline Vinotha
    Department of Mathematics, Holy Cross College, Trichy, India
  • Lily Merline
    Department of Mathematics, Periyar EVR College, Trichy, India
  • Ramila Gandhi
    Department of Mathematics, PSNA College of Engineering, Dindigul, Tamil Nadu, India
  • Aleeswari A
    Department of Management, PSNA CET, Dindigul, India
  • Edwin Deepak
    Department of Engineering, PSNA CET, Dindigul, India
  • Pandiammal P
    Department of Mathematics, GTN Arts College, Dindigul, India
Modeling the real life scenario in the field of Engineering, Science and Technology is indeed very significant as they don’t involve only an entity rather it functions as whole to find optimal solutions to the problem, but the main hurdle is the environment of uncertainty. Fuzzy Mathematics plays a pivotal task in making feasible decisions by handling the hurdles of vagueness. The concept of modeling is indispensable in all related fields subjected to the core fields mentioned above. For instance, the domain of Decision making involves a system of continuous and interrelated actions which are to be modeled with fuzzy tools and techniques to arrive at precise conclusions.
Modeling involves the consideration of several variables and factors as inputs. The nature of these inputs and their participatory role aren’t deterministic always, they are many a times uncertain in its temperament. This demands the opening of Fuzzy Modeling systems to reach optimal decisions. Many researchers are excavating new fuzzy techniques in modeling with the integration of several fuzzy techniques into hybrid ones. Fuzzy Modeling in the dimension of Health is also gaining momentum. Machine learning and the Human Interface, Artificial Neural networks, Cognitive Science are being masked with Fuzzy concepts to yield most favorable solutions.
As this special issue predominantly focuses on Fuzzy Modeling systems, this will be a supportive platform for the fuzzy researchers to share their expertise and enrich the growth of Fuzzy applications. This will also serve as a forum for the exchange of innovative ideas and thoughts on Fuzzy modeling, which will further intensify the connotations of experts.
Aims and Scope:
  1. To foster the researchers to present their recent and inventive research works
  2. To disseminate the quality inferences of the research to the global community
  3. To promote the sustainability of mankind with flexible Fuzzy models
  4. To build network between Fuzzy experts and researchers for enriching scientific innovation
  5. To persuade young researchers to publish articles of high eminence and creativity with practical utility
  6. To expound several Fuzzy Models nexuses with other domains of Mathematics
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