2017
DOI: 10.5899/2017/jfsva-00340
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On fuzzy multiset regular languages

Abstract: The purpose of present work is to study some algebraic aspect of fuzzy multiset regular languages. In between, we show the equivalence of multiset regular language and fuzzy multiset regular language. Finally, we introduce the concept of pumping lemma for fuzzy multiset regular languages, which we use to establish a necessary and sufficient condition for a fuzzy multiset language to be non-constant.

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Cited by 8 publications
(8 citation statements)
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References 30 publications
(39 reference statements)
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“…Ciobanu [34] studied Mealy multiset automata, Kudlek, Totzke and Zetzsche [35] studied multiset pushdown automata and multiset languages and Kudlek and Mitrana [36] studied closure properties of multiset language families. To incorporate vagueness or uncertainty in multiset automata and their languages, the concept of fuzzy multiset regular grammar (FMRG), FMFA and their languages were introduced and studied by Wang, Yin and Gu [37], Martinek [38,39] studied determinism and minimization of FMFA, Sharma, Tiwari and Sharan [40] studied the transformation semigroup and covering of a FMFA, Tiwari, Gautam and Dubey [41] studied fuzzy multiset languages (FMLs) whereas Sharma, Syropoulos and Tiwari [42] studied FMRG. It is worth to mention here that the multiset automata and fuzzy multiset automata are generalized versions of classical and fuzzy automata whose inputs are multisets (bags), in these models of computations processing of a symbol does not follow any strict order, i.e., any symbol from'input bag' can be utilized without affecting the output.…”
Section: Introductionmentioning
confidence: 99%
“…Ciobanu [34] studied Mealy multiset automata, Kudlek, Totzke and Zetzsche [35] studied multiset pushdown automata and multiset languages and Kudlek and Mitrana [36] studied closure properties of multiset language families. To incorporate vagueness or uncertainty in multiset automata and their languages, the concept of fuzzy multiset regular grammar (FMRG), FMFA and their languages were introduced and studied by Wang, Yin and Gu [37], Martinek [38,39] studied determinism and minimization of FMFA, Sharma, Tiwari and Sharan [40] studied the transformation semigroup and covering of a FMFA, Tiwari, Gautam and Dubey [41] studied fuzzy multiset languages (FMLs) whereas Sharma, Syropoulos and Tiwari [42] studied FMRG. It is worth to mention here that the multiset automata and fuzzy multiset automata are generalized versions of classical and fuzzy automata whose inputs are multisets (bags), in these models of computations processing of a symbol does not follow any strict order, i.e., any symbol from'input bag' can be utilized without affecting the output.…”
Section: Introductionmentioning
confidence: 99%
“…The most notable examples are the GAMMA model [6,7], the chemical abstract machine [8], and P systems [9]. Similarly, there are models of computation whose core elements are fuzzy multisets [5,10] (but see also the 5th chapter of [11]).…”
Section: Introductionmentioning
confidence: 99%
“…e recent contribution to the study of fuzzy multiset automata and fuzzy multiset languages is due to Sharma et al [76,77], Wang and Li [64], Pal and Tiwari [78], and Tiwari et al [79].…”
Section: Introductionmentioning
confidence: 99%
“…e authors in [76], studied algebraic aspects of fuzzy multiset automata like fuzzy multiset transformation semigroup and coverings of fuzzy multiset finite automata, while authors in [77] studied fuzzy multiset regular languages and proved pumping lemma and use it to point out mandatory condition for fuzzy multiset languages being non-constant. In [64], the method of transformation of lattice valued nondeterministic multiset automata into deterministic lattice valued multiset automata (DLMA), and then its minimization algorithm; some lattice-valued regular multiset languages accepted by some special minimal DLMA the lattice-valued regular multiset language decomposition by some simple were studied with structure for truth values of a fuzzy set as distributive lattices.…”
Section: Introductionmentioning
confidence: 99%