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On ϕ-contractions in partially ordered fuzzy metric spaces.

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Title: On ϕ-contractions in partially ordered fuzzy metric spaces.
Authors: Wang, Shuang1 wangshuang19841119@163.com
Source: Fixed Point Theory & Applications. 12/23/2015, Vol. 2015 Issue 1, p1-16. 16p.
Subjects: Partially ordered spaces, Fuzzy systems, Mathematical mappings, Fixed point theory, Mathematics theorems
Abstract: Under some weaker conditions, some coincidence point and common fixed point theorems are established in partially ordered fuzzy metric spaces using weakly compatible mappings. By using the theorems, we obtain some coupled and multidimensional fixed point results, which are generalization and improvement of very recent theorems in the corresponding literature. In order to illustrate our main results, we give three examples. [ABSTRACT FROM AUTHOR]
Copyright of Fixed Point Theory & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Under some weaker conditions, some coincidence point and common fixed point theorems are established in partially ordered fuzzy metric spaces using weakly compatible mappings. By using the theorems, we obtain some coupled and multidimensional fixed point results, which are generalization and improvement of very recent theorems in the corresponding literature. In order to illustrate our main results, we give three examples. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Fixed Point Theory & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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