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Editorial Emerging Trends in Soft Set Theory and Related Topics Feng Feng, 1 Naim Cagman, 2 Violeta Leoreanu-Fotea, 3 and Muhammad Akram 4 1 Department of Applied Mathematics, School of Science, Xi’an University of Posts and Telecommunications, Xi’an 710121, China 2 Department of Mathematics, Faculty of Arts and Sciences, University of Gaziosmanpasa, 60100 Tokat, Turkey 3 Faculty of Mathematics, Alexandru Ioan Cuza University, 700506 Iasi, Romania 4 College of Information Technology, University of the Punjab, Old Campus, Lahore 54000, Pakistan Correspondence should be addressed to Feng Feng; [email protected] Received 23 November 2014; Accepted 23 November 2014 Copyright © 2015 Feng Feng et al. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Uncertainty is an essential and ubiquitous factor in the real world. e meaning and utility of uncertainty have been pon- dered by theoreticians and practitioners for more than two millennia. It has been found that the concept of uncertainty is too complicate to be captured within a single framework. In response to this, a number of different approaches including probability theory, fuzzy sets, and rough sets have been developed to cope with uncertainty from distinct angles of views. Molodtsov’s soſt set theory was initiated in 1999, which provides us with a new framework for handling uncertainty. e philosophy of soſt sets is founded on the idea of parametrization, which is utilized by human to perceive and understand concepts of high complexity in daily life. Soſt set theory suggests that complicated concepts with intrinsic uncertainty should be characterized from a variety of different aspects, and all these related facets are supposed to be organized and treated as a whole. Without any restriction on its parameters, this theory comes with an ability to model uncertain concepts in a convenient and meaningful way. As a newly emerging area of interdisciplinary research, soſt set theory, has received much attention from researchers all over the world. Evidence of this can be found in the increasing number of high-quality works on soſt sets and related topics that have been published over past few years. is special issue mainly aims to provide the researchers with a collection of state-of-the-art research contributions which represent some emerging trends in soſt set theory and related topics. It received an overwhelming response from the community. Editors received 47 submissions from different countries around the world. All submissions followed the same standard as applied to regular submissions to this journal. Due to the limited space, 18 articles were finally selected to be published. Contributions of the included papers are briefly summarized as follows. In “Concave soſt sets, critical soſt points, and union-soſt ideals of ordered semigroups,” Y. B. Jun et al. introduce soſt algebraic notions such as union-soſt semigroups and union- soſt (leſt, right) ideals by organizing parameters with the structure of an ordered semigroup. ey examine some basic aspects of these notions mainly under the regularity condi- tion. In addition, the authors define concave soſt sets, critical soſt points, union-soſt products, and union-soſt semiprime soſt sets and investigate some related properties as well. In “Hesitant fuzzy soſt subalgebras and ideals in BCK/BCI- algebras,” Y. B. Jun et al. apply hesitant fuzzy soſt sets to the exploration of BCK/BCI-algebras. ey define hesitant fuzzy soſt subalgebras and (closed) hesitant fuzzy soſt ideals over BCK/BCI-algebras, investigate their algebraic properties, and obtain a number of meaningful results. In “Soſt mappings space,” T. Y. Ozturk and S. Bayramov introduce soſt compact-open topologies in functional spaces of soſt topological spaces. ey also ascertain interrelations among several functional spaces with soſt compact-open topologies. In “Soſt translations and soſt extensions of BCI/BCK- algebras,” N. Sultana et al. define soſt translations of soſt subalgebras and soſt ideals over BCI/BCK-algebras. ey also introduce a related notion called soſt extensions and explore the relations between soſt translations and soſt extensions. In “Soſt covering based rough sets and their application,”S ¸. uksel et al. generalize Pawlak’s rough sets based on covering Hindawi Publishing Corporation e Scientific World Journal Volume 2015, Article ID 689457, 2 pages http://dx.doi.org/10.1155/2015/689457

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Page 1: Editorial Emerging Trends in Soft Set Theory and Related

EditorialEmerging Trends in Soft Set Theory and Related Topics

Feng Feng,1 Naim Cagman,2 Violeta Leoreanu-Fotea,3 and Muhammad Akram4

1Department of Applied Mathematics, School of Science, Xi’an University of Posts and Telecommunications, Xi’an 710121, China2Department of Mathematics, Faculty of Arts and Sciences, University of Gaziosmanpasa, 60100 Tokat, Turkey3Faculty of Mathematics, Alexandru Ioan Cuza University, 700506 Iasi, Romania4College of Information Technology, University of the Punjab, Old Campus, Lahore 54000, Pakistan

Correspondence should be addressed to Feng Feng; [email protected]

Received 23 November 2014; Accepted 23 November 2014

Copyright © 2015 Feng Feng et al. This is an open access article distributed under the Creative Commons Attribution License,which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Uncertainty is an essential and ubiquitous factor in the realworld.Themeaning and utility of uncertainty have been pon-dered by theoreticians and practitioners for more than twomillennia. It has been found that the concept of uncertaintyis too complicate to be capturedwithin a single framework. Inresponse to this, a number of different approaches includingprobability theory, fuzzy sets, and rough sets have beendeveloped to cope with uncertainty from distinct angles ofviews.

Molodtsov’s soft set theory was initiated in 1999, whichprovides us with a new framework for handling uncertainty.The philosophy of soft sets is founded on the idea ofparametrization, which is utilized by human to perceiveand understand concepts of high complexity in daily life.Soft set theory suggests that complicated concepts withintrinsic uncertainty should be characterized from a varietyof different aspects, and all these related facets are supposed tobe organized and treated as a whole. Without any restrictionon its parameters, this theory comes with an ability to modeluncertain concepts in a convenient and meaningful way. Asa newly emerging area of interdisciplinary research, soft settheory, has received much attention from researchers all overthe world. Evidence of this can be found in the increasingnumber of high-quality works on soft sets and related topicsthat have been published over past few years.

This special issue mainly aims to provide the researcherswith a collection of state-of-the-art research contributionswhich represent some emerging trends in soft set theory andrelated topics. It received an overwhelming response from thecommunity. Editors received 47 submissions from differentcountries around the world. All submissions followed the

same standard as applied to regular submissions to thisjournal. Due to the limited space, 18 articles were finallyselected to be published.Contributions of the includedpapersare briefly summarized as follows.

In “Concave soft sets, critical soft points, and union-softideals of ordered semigroups,” Y. B. Jun et al. introduce softalgebraic notions such as union-soft semigroups and union-soft (left, right) ideals by organizing parameters with thestructure of an ordered semigroup.They examine some basicaspects of these notions mainly under the regularity condi-tion. In addition, the authors define concave soft sets, criticalsoft points, union-soft products, and union-soft semiprimesoft sets and investigate some related properties as well.

In “Hesitant fuzzy soft subalgebras and ideals in BCK/BCI-algebras,” Y. B. Jun et al. apply hesitant fuzzy soft sets to theexploration of BCK/BCI-algebras. They define hesitant fuzzysoft subalgebras and (closed) hesitant fuzzy soft ideals overBCK/BCI-algebras, investigate their algebraic properties, andobtain a number of meaningful results.

In “Soft mappings space,” T. Y. Ozturk and S. Bayramovintroduce soft compact-open topologies in functional spacesof soft topological spaces. They also ascertain interrelationsamong several functional spaces with soft compact-opentopologies.

In “Soft translations and soft extensions of BCI/BCK-algebras,” N. Sultana et al. define soft translations of softsubalgebras and soft ideals over BCI/BCK-algebras.They alsointroduce a related notion called soft extensions and explorethe relations between soft translations and soft extensions.

In “Soft covering based rough sets and their application,” S.Yuksel et al. generalize Pawlak’s rough sets based on covering

Hindawi Publishing Corporatione Scientific World JournalVolume 2015, Article ID 689457, 2 pageshttp://dx.doi.org/10.1155/2015/689457

Page 2: Editorial Emerging Trends in Soft Set Theory and Related

2 The Scientific World Journal

soft sets. They introduce soft covering approximation spacesand soft covering rough approximation operators. Moreover,they present a practical example involving prostate cancerrisk data of 78 patients from Selcuk University MeramMedicine Faculty to illustrate the potential applications of softcovering based rough sets in medicine.

In “A new approach to entropy and similarity measure ofvague soft sets,” D. Hu et al. focus on uncertainty measuresof vague soft sets. They propose a new axiomatic definitionof entropy and develop a new method to construct the sim-ilarity measures and entropies for vague soft sets. They alsodescribe various inner relationships among these uncertaintymeasures of vague soft sets.

In “Cyclic soft groups and their applications on groups,” H.Aktas and S. Ozlu define orders of soft groups, powers of softsets, and cyclic soft groups. They investigate some algebraicproperties of cyclic soft groups and reveal the relationshipsbetween cyclic soft groups and classical groups.

In “Ideal theory in semigroups based on intersectional softsets,” S. Z. Song et al. introduce int-soft semigroups, int-soft(left, right, and two-sided) ideals, and int-soft quasi-idealsby equipping the parameter set with an associative opera-tion. They present some characterizations of subsemigroups,left ideals, and right ideals based on these notions. Theycharacterize int-soft semigroups and int-soft (left, right, andtwo-sided) ideals by virtue of int-soft products. Moreover,the authors also discuss the characterization of regularsemigroups using int-soft quasi-ideals.

In “On soft 𝛽-open sets and soft 𝛽-continuous functions,”M. Akdag and A. Ozkan present the concepts of soft 𝛽-interiors and soft 𝛽-closures of soft sets in soft topologicalspaces. They also investigate some properties of soft 𝛽-opensets and soft 𝛽-continuous functions.

In “Novel applications of intuitionistic fuzzy digraphs indecision support systems,” M. Akram et al. present sev-eral decision support models based on intuitionistic fuzzydigraphs. In particular, they describe potential applicationsof intuitionistic fuzzy digraphs in organization management,medical diagnosis, marketability of books, and vulnerabilityassessment of gas pipeline networks. They also design andimplement the algorithms for these decision support models.

In “Similarity measure and entropy of fuzzy soft sets,” Z.Liu et al. discuss a general approach to similarity measuresand entropies of fuzzy soft sets based on fuzzy equivalences.They also compare theirmethodwith several existing propos-als in the literatures.

In “Subalgebras of BCK/BCI-algebras based on cubic softsets,” G. Muhiuddin et al. apply cubic soft sets to the study ofBCK/BCI-algebras. They introduce several basic operationsof cubic soft sets. An example is presented to show that the𝑅-union of two internal cubic soft sets might not be internal.They also discuss the condition under which the 𝑅-union oftwo internal cubic soft sets results in an internal cubic softset. Basic algebraic properties of cubic soft subalgebras ofBCK/BCI-algebras are examined as well.

In “Type-II fuzzy decision support system for fertilizer,”A. Ashraf et al. demonstrate the application of type-II fuzzysets in developing a decision support system for modellinga spatial surface of fertilizer. They present a basic platform

for the development of spatial surfaces using a type-II fuzzyinference engine based on human linguistic values.

In “On topological structures of fuzzy parametrized softsets,” S. Atmaca and I. Zorlutuna explore the topologi-cal structure of fuzzy parametrized soft sets and fuzzyparametrized soft mappings. They introduce the notionof quasi-coincidence for fuzzy parametrized soft sets andinvestigate some basic concepts including closures, interiors,bases, compactness, and continuity in fuzzy parametrizedsoft topological spaces.

In “Soft congruence relations over rings,” X. Xin and W.Li introduce soft congruence relations with regard to rings.They also define soft quotient rings and generalized soft ide-als. A one-to-one correspondence between soft congruencerelations and idealistic soft rings (or soft ideals) is presented.In addition, the authors establish various soft isomorphismtheorems regarding soft rings.

In “Hesitant fuzzy soft sets with application in multicri-teria group decision making problems,” J. Wang et al. definesome operations of hesitant fuzzy soft sets by virtue ofArchimedean t-norms and t-conorms. They present someaggregation operators, including HFSWA, HFSWG, GHF-SWA, and GHFSWG operators, which are used to developa multicriteria group decision making approach based onhesitant fuzzy soft sets. The authors also illustrate the newlyproposed notions and method with a numerical example.

Finally, in “Some properties of fuzzy soft proximity spaces,”I. Demir and O. B. Ozbakır explore some properties of fuzzysoft proximity spaces in Katsaras’s sense. They demonstratethat each fuzzy soft proximity could induce a fuzzy softtopology by virtue of fuzzy soft closure operators. Theypresent the notion of fuzzy soft 𝛿-neighborhoods as analternative description of fuzzy soft proximities. Moreover,the authors introduce products of fuzzy soft proximity spacesand analyze the relationship between fuzzy soft proximitiesand proximities.

We sincerely hope the readers will find this special issueinformative and inspiring.

Acknowledgments

The preparation of this special issue has been partiallysupported by National Natural Science Foundation of China(Program no. 11301415), Natural Science Basic Research Planin Shaanxi Province of China (Program no. 2013JQ1020),Shaanxi Provincial Research Plan for Young Scientific andTechnological New Stars (Program no. 2014KJXX-73), andScientific Research Program Funded by Shaanxi ProvincialEducation Department of China (Program no. 2013JK1098).As the guest editors of this special issue, we would like tothank all the contributors for their submissions.We are highlygrateful to our reviewers for their insightful comments andvaluable suggestions.

Feng FengNaim Cagman

Violeta Leoreanu-FoteaMuhammad Akram

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