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Fuzzy Algebra and Soft Computing

Edited by: Professor John Macintyre of Sunderland University (UK)

It is my pleasure to introduce the Fuzzy Algebra and Soft Computing Collection, an Open Access sister venue of my subscription journal Neural Computing and Applications. Articles can be submitted via manuscript transfer, or as direct submissions through the SpringerPlus website.

This collection provides a new publication outlet for scientists and academics who are developing new approaches to soft computing using fuzzy algebra, with specific emphasis on the algorithmic approaches and where there is an evidence-base for the benefits of the new approach.

Subject matters for the Collection include:

  • Soft Computing
  • Fuzzy Logic
  • Fuzzy Set Theory
  • Fuzzy Algebra

All manuscripts are subject to rigorous peer review for their suitability for publication in SpringerPlus.

Submission Instructions:

If your manuscript meets the aims and scope of this individual Collection, please first follow all of the SpringerPlus Submission Guidelines.

During submission, at the "Additional Information" section, please select that you are submitting to an Article Collection, and choose “Fuzzy Algebra and Soft Computing” from the list.

Collection Articles:

  1. Research

    Soft normed rings

    Molodtsov introduced the concept of soft sets, which can be seen as a new mathematical tool for dealing with uncertainty. In this paper, we initiate the study of soft normed rings by soft set theory. The notio...

    Vakkas Uluçay, Mehmet Şahin and Necati Olgun

    SpringerPlus 2016 5:1950

    Published on: 10 November 2016

  2. Research

    A study on vague graphs

    The main purpose of this paper is to introduce the notion of vague h-morphism on vague graphs and regular vague graphs. The action of vague h-morphism on vague strong regular graphs are studied. Some elegant r...

    Hossein Rashmanlou, Sovan Samanta, Madhumangal Pal and R. A. Borzooei

    SpringerPlus 2016 5:1234

    Published on: 2 August 2016

  3. Research

    Automatic no-reference image quality assessment

    No-reference image quality assessment aims to predict the visual quality of distorted images without examining the original image as a reference. Most no-reference image quality metrics which have been already...

    Hongjun Li, Wei Hu and Zi-neng Xu

    SpringerPlus 2016 5:1097

    Published on: 16 July 2016