Coupled Fixed Point - Applications in Partially Ordered Fuzzy Metric Spaces | Chapter 2 | Research and Applications Towards Mathematics and Computer Science Vol. 2

 In the paper we establish a coupled established point result in incompletely ordered fuzzy rhythmical spaces by utilizing the control function. We acquire our results for Had zic type t-norm. Fuzzy set belief is one of uncertainty approaches and topological constructions are basic tools to build mathematical models compatible accompanying many real existence situation. We also base two lemmas and deduce a corollary. By an use of the fixed point axiom in fuzzy metric scopes, a corresponding result is obtained in rhythmical spaces. Our work offers some existing results [1, 2, 3].

Author(s) Details:

B. S. Choudhury,
Department of Mathematics, Indian Institute of Engineering Sciences and Technology, Shibpur, Howrah - 711103, West Bengal, India.

P. Das,
Department of Mathematics, Indian Institute of Engineering Sciences and Technology, Shibpur, Howrah - 711103, West Bengal, India.

P. Bhattacharyya,
Department of Humanities and Basic Science, Fr. C. Rodrigues Institute of Technology, Vashi, Navi Mumbai - 400703, Maharastra, India.

P. Saha,
Department of Mathematics, Indian Institute of Engineering Sciences and Technology, Shibpur, Howrah - 711103, West Bengal, India.

P. Lata,
Department of Mathematics, Pratap University, Sunderpura, Jaipur, Rajasthan, India.

Please see the link here: https://stm.bookpi.org/RATMCS-V2/article/view/11105

Fixed-Point Theory and Its Some Real-Life Applications| Chapter 8 | Research Highlights in Mathematics and Computer Science Vol. 1

 In this paper, fixed-point hypothesis is the delightful combination of examination, geography and math. In some true issues fixed-point hypothesis is the essential numerical apparatus used to lay out the presence of arrangements in game hypothesis and numerical financial matters which emerge normally in applications. Thus, fixed-point hypothesis is a significant area of concentrate in unadulterated and applied science and it is a thriving area of exploration.

Author(s) Details:

Sarla Chouhan,
Department of Applied Mathematics, Shri Govindram Seksaria Institute of Technology and Science, Indore, Madhya Pradesh, India.

Bhumi Desai,
SGSITS, Indore, India.

Please see the link here: https://stm.bookpi.org/RHMCS-V1/article/view/8247

Greenhouse Humidity Prediction and Control Models by Using Fuzzy Inference Systems | Chapter 06 | Research Developments in Science and Technology Vol. 6

 Greenhouse horticulture is a popular method for growing high-value crops with a large profit margin. To enable excellent management of environmental elements, fuzzy inference systems have been successfully used in prediction and control models. The goal of this research is to discover the many relationships in fuzzy inference systems now used for greenhouse modelling, prediction, and humidity management, as well as their change through time, in order to design more robust and understandable models. The major goal is to apply optimization techniques to find distinct linkages inside fuzzy inference systems, their configurations, and models, which are currently used for greenhouse forecast, control, and humidity modelling. The procedure is based on the PRISMA working guide. Four academic databases were combed through for a total of 93 questionnaires. Its bibliometric features have been retrieved and analysed, which helps the survey achieve its goal. Finally, it was discovered that combining Mamdani's fuzzy inference systems with optimization and fuzzy clustering methodologies, as well as tactics like model-based predictive control, assures great accuracy and interpretability.

Author(S) Details

Sebastian-Camilo Vanegas-Ayala
Faculty of Engineering, Universidad Distrital Francisco José de Caldas, Bogotá D.C. 11021-110231588, Colombia.

Julio Barón-Velandia
Faculty of Engineering, Universidad Distrital Francisco José de Caldas, Bogotá D.C. 11021-110231588, Colombia.

Daniel-David Leal-Lara
Faculty of Engineering, Universidad Distrital Francisco José de Caldas, Bogotá D.C. 11021-110231588, Colombia.

View Book:- https://stm.bookpi.org/RDST-V6/article/view/7012