<?xml version="1.0" encoding="UTF-8"?>
<TEI xml:space="preserve" xmlns="http://www.tei-c.org/ns/1.0" 
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" 
xsi:schemaLocation="http://www.tei-c.org/ns/1.0 https://raw.githubusercontent.com/kermitt2/grobid/master/grobid-home/schemas/xsd/Grobid.xsd"
 xmlns:xlink="http://www.w3.org/1999/xlink">
	<teiHeader xml:lang="en">
		<fileDesc>
			<titleStmt>
				<title level="a" type="main">Every Concept Lattice With Hedges Is Isomorphic To Some Generalized Concept Lattice</title>
			</titleStmt>
			<publicationStmt>
				<publisher/>
				<availability status="unknown"><licence/></availability>
			</publicationStmt>
			<sourceDesc>
				<biblStruct>
					<analytic>
						<author role="corresp">
							<persName><forename type="first">Stanislav</forename><surname>Krajči</surname></persName>
							<email>krajci@science.upjs.sk</email>
							<affiliation key="aff0">
								<orgName type="department" key="dep1">Institute of Computer Science</orgName>
								<orgName type="department" key="dep2">Faculty of Science</orgName>
								<orgName type="institution">UPJ Š Košice</orgName>
								<address>
									<country key="SK">Slovakia</country>
								</address>
							</affiliation>
							<affiliation key="aff1">
								<orgName type="department" key="dep1">Institute of Computer Science</orgName>
								<orgName type="department" key="dep2">Faculty of Science</orgName>
								<orgName type="institution">UPJ Š Košice</orgName>
								<address>
									<country key="SK">Slovakia</country>
								</address>
							</affiliation>
						</author>
						<title level="a" type="main">Every Concept Lattice With Hedges Is Isomorphic To Some Generalized Concept Lattice</title>
					</analytic>
					<monogr>
						<imprint>
							<date/>
						</imprint>
					</monogr>
					<idno type="MD5">A40818FE2164520B2E46685E4AE8224A</idno>
				</biblStruct>
			</sourceDesc>
		</fileDesc>
		<encodingDesc>
			<appInfo>
				<application version="0.7.2" ident="GROBID" when="2023-03-23T20:17+0000">
					<desc>GROBID - A machine learning software for extracting information from scholarly documents</desc>
					<ref target="https://github.com/kermitt2/grobid"/>
				</application>
			</appInfo>
		</encodingDesc>
		<profileDesc>
			<abstract>
<div xmlns="http://www.tei-c.org/ns/1.0"><p>We show the relationship between two different types of common platforms of till known fuzzifications of a concept lattice, namely that the notion of a concept lattice with hedges is a special case of our generalized concept lattice.</p><p>Let us shortly recall a notion of a generalized concept lattice given by the author. All these results are proven in [9] (and/or in <ref type="bibr" target="#b10">[10]</ref>).</p><p>Let P be a poset, C and D be complete lattices. Let • : C × D → P be monotone and left-continuous in both their arguments, i.e.</p></div>
			</abstract>
		</profileDesc>
	</teiHeader>
	<text xml:lang="en">
		<body>
<div xmlns="http://www.tei-c.org/ns/1.0"><head n="1">Introduction</head><p>There are some approaches to fuzzify (i. e. generalize for fuzzy case too) the classical Ganter-Wille construction of concept lattice. If we omit the (maybe slightly naive) attempt done by Burusco &amp; Fuentes-Gonzalez ( <ref type="bibr" target="#b6">[6]</ref>), the first approach, which was theoretically and practically well developed, was given by Bělohlávek ( <ref type="bibr" target="#b0">[1]</ref>) and <ref type="bibr">Pollandt ([11]</ref>). It use (L-)fuzzy subsets of objects and (L-)fuzzy subsets of attributes. The another approach, so-called one-sided fuzzy concept lattice was invented independently by Ben Yahia &amp; Jaoua ( <ref type="bibr" target="#b5">[5]</ref>), by <ref type="bibr">Bělohlávek et al. ([4]</ref>) and by the author ( <ref type="bibr" target="#b8">[8]</ref>). It considers fuzzy subsets of attributes but ordinary/classical/crisp subsets of objects (or vice versa). Because there is no inclusion between these two fuzzy approaches the natural asking for some common platform of both had arose.</p><p>We know about two such generalizations. One of them was shown by Bělohlávek et al. <ref type="bibr">([3]</ref> and partially in <ref type="bibr" target="#b1">[2]</ref>) and it uses so-called hedges (or truth-stressers) (details below). The second one was given by author ( <ref type="bibr" target="#b9">[9]</ref>) and its idea is to separate between the ranges of fuzzy sets of objects and fuzzy sets of attributes (again details below). Till now it seemed that these two generalizing approaches are not compatible, but in this paper we try to show that the first is contained in the second.</p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head n="2">A generalized concept lattice</head><formula xml:id="formula_0">1a) c 1 ≤ c 2 implies c 1 • d ≤ c 2 • d for all c 1 , c 2 ∈ C and d ∈ D. 1b) d 1 ≤ d 2 implies c • d 1 ≤ c • d 2 for all c ∈ C and d 1 , d 2 ∈ D. 2a) If c • d ≤ p holds for d ∈ D, p ∈ P and for all c ∈ X ⊆ C, then sup X • d ≤ p. 2b) If c • d ≤ p holds for c ∈ C, p ∈ P and for all d ∈ Y ⊆ D, then c • sup Y ≤ p.</formula><p>Let A and B be non-empty sets and let R be P -relation on their Cartesian product, i.e. R : A × B → P .</p><p>Define the following mapping : B D → A C (by S T we understand the set of all mappings from the set S to the set T ):</p><p>If g : B → D then (g) : A → C is defined as follows:</p><formula xml:id="formula_1">(g)(a) = sup{c ∈ C : (∀b ∈ B)c • g(b) ≤ R(a, b)}.</formula><p>Symmetrically we define the mapping</p><formula xml:id="formula_2">: A C → B D: If f : A → C then (f ) : B → D is defined as follows: (f )(b) = sup{d ∈ D : (∀a ∈ A)f (a) • d ≤ R(a, b)}.</formula><p>Because these two mappings and form a Galois connection, it can be repeated a classical construction of concept lattice. The result of this construction is called a generalized concept lattice and the following basic theorem on generalized concept lattice holds (the proofs are in <ref type="bibr" target="#b9">[9]</ref> and <ref type="bibr" target="#b10">[10]</ref>):</p><p>Theorem 1. 1) The generalized concept lattice L is a complete lattice in which</p><formula xml:id="formula_3">i∈I g i , f i = i∈I g i , i∈I f i and i∈I g i , f i = i∈I g i , i∈I f i .</formula><p>2) Let moreover P have the least element 0 P and 0 C • d = 0 P and c • 0 D = 0 P for every c ∈ C and d ∈ D. Then a complete lattice V is isomorphic to L if and only if there are mappings α :</p><formula xml:id="formula_4">A × C → V and β : B × D → V s.t. 1a) α is non-increasing in the second argument. 1b) β is non-decreasing in the second argument. 2a) α[A × C] is infimum-dense. 2b) β[B × D] is supremum-dense. 3) For every a ∈ A, b ∈ B, c ∈ C, d ∈ D α(a, c) ≥ β(b, d) if and only if c • d ≤ R(a, b).</formula><p>This approach is really a generalization of Bělohlávek's fuzzy concept lattice and of one-sided fuzzy concept lattice (and, of course, of a classical crisp case).</p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head n="3">A concept lattice with hedges</head><p>Bělohlávek consider a (complete) residuated lattice L = L, ∨, ∧, ⊗, →, 0, 1 , where ⊗ and → are connectives on L which form an adjoint pair, i.e. x ⊗ y ≤ z iff x ≤ y → z. ⊗ is isotone in both their arguments, → is antitone in the first argument and isotone in the second one, ⊗ is commutative and x⊗1 = 1⊗x = x.</p><p>Moreover he has sets X and Y and an incidence relation I : X × Y → L. Then he defines the mappings :</p><formula xml:id="formula_5">L X → L Y and : L Y → L X as follows: If A ∈ L X and B ∈ L Y then A (y) = x∈X (A(x) → I(x, y)) and B (x) = y∈Y (B(y) → I(x, y)).</formula><p>The new idea of Bělohlávek (et al.)'s is to modify these definitions in this way:</p><formula xml:id="formula_6">A ↑ (y) = x∈X (A(x) * X → I(x, y)) and B ↓ (x) = y∈Y (B(y) * Y → I(x, y)),</formula><p>where * X and * Y are so-called hedges on L. A hedge is a function * on L which fulfills these properties:</p><formula xml:id="formula_7">1 * = 1, a * ≤ a, (a → b) * ≤ a * → b * , a * * = a * .</formula><p>(Note that the last one can be rewrite in the form * • * = * where • is the composition of mappings.) Moreover they work with the following functions:</p><p>-For arbitrary A : U → L (U is some universe) define:</p><formula xml:id="formula_8">A = { u, a ∈ U × L : a ≤ A(u)}.</formula><p>-For arbitrary B ⊆ U × L take the function B : U → L defined by:</p><formula xml:id="formula_9">B (u) = {a ∈ L : u, a ∈ B}.</formula><p>-For arbitrary A : U → L and * : L → L define the function A * given pointwise by: A * (u) = (A(u)) * .</p><p>-For arbitrary B ⊆ U × L and * : L → L define:</p><formula xml:id="formula_10">B * = { x, a * : x, a ∈ B}.</formula><p>Then they have taken the set</p><formula xml:id="formula_11">B(X * X , Y * Y , I) = { A, B : A ↑ = B, B ↓ = A}</formula><p>of all fixpoints of the pair ↑ , ↓ and showed that this structure is isomorphic to the ordinary concept lattice B(X × *</p><formula xml:id="formula_12">X [L], Y × * Y [L], I , )</formula><p>where</p><formula xml:id="formula_13">A = A ↑ * X and B = B ↓ * Y ,</formula><p>and relation I , is given by</p><formula xml:id="formula_14">x, a , y, b ∈ I , iff a ⊗ b ≤ I(x, y).</formula><p>Finally, they have proven this basic theorem for concept lattice with hedges (we present here only its second part): Theorem 2. An arbitrary complete lattice V, ≤ is isomorphic to the complete lattice B(X * X , Y * Y , I) iff there are mappings γ :</p><formula xml:id="formula_15">X × * X [L] → V and µ : Y × * Y [L] → V s. t. 1a) µ[Y × * Y [L]] is infimum-dense. 1b) γ[X × * X [L]] is supremum-dense. 2) γ(x, a) ≤ µ(y, b) if and only if a ⊗ b ≤ I(x, y).</formula></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head n="4">A few observations</head><p>We add some small, but useful assertions about these notions: Proof</p><formula xml:id="formula_16">. If A 1 , A 2 : U → L and A 1 ≤ A 2 , then obviously A 1 = { u, a ∈ U × L : a ≤ A 1 (u)} ⊆ { u, a ∈ U × L : a ≤ A 2 (u)} = A 2 .</formula><p>Lemma 4. The function • is monotonous.</p><formula xml:id="formula_17">Proof. If B 1 ⊆ B 2 ⊆ U × L, then for all u ∈ U we have clearly B 1 (u) = {a ∈ L : u, a ∈ B 1 } = {a ∈ L : u, a ∈ B 2 } = B 2 (u).</formula><p>Lemma 5. For arbitrary A : U → L it is true that A = A.</p><formula xml:id="formula_18">Proof. A (u) = {a ∈ L : u, a ∈ A } = {a ∈ L : a ≤ A(u)} = A(u).</formula></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head n="5">Relationship between these two approaches</head><p>We can see that the basic theorem for concept lattice with hedges and the basic theorem for our generalized concept lattice are very similar. And it is suspicious. So take such special case of our generalized concept lattice given by the following table:</p><formula xml:id="formula_19">general special P L A Y B X C * Y [L] D * X [L] • ⊗ R : A × B → P I : X × Y → L</formula><p>Then our definitions can be rewritten in this form:</p><formula xml:id="formula_20">If g : X → * X [L] then (g) : Y → * Y [L] is defined as follows: (g)(y) = sup{c ∈ * Y [L] : (∀x ∈ X)c ⊗ g(x) ≤ I(x, y)}, and if f : Y → * Y [L] then (f ) : X → * X [L] is defined by: (f )(x) = sup{d ∈ * X [L] : (∀y ∈ Y )f (y) ⊗ d ≤ I(x, y)}.</formula><p>And now we will try to prove that such special case of generalized concept lattice is isomorphic to the lattice from <ref type="bibr" target="#b2">[3]</ref>:</p><formula xml:id="formula_21">Theorem 3. The lattices L = L( X ( * X [L]), Y ( * Y [L]), I) and B = B(X× * X [L], Y × * Y [L], I , ) are isomorphic and the isomorphisms are Φ( g, f ) = g , f and Ψ ( S, T ) = S , T , where g : X → * X [L], f : Y → * Y [L], S ⊆ X × * X [L], T ⊆ Y × * Y [L].</formula><p>It is enough to prove the following six claims:</p><formula xml:id="formula_22">Claim 1 If g, f ∈ L then Ψ ( g, f ) ∈ B.</formula><p>Proof. Let g, f ∈ L, i. e. g = (f ) and f = (g), we want to prove g = f = f ↓ * = f ↓ * (because from the lemma 5 we have f = f ) and f = g = g ↑ * = g ↑ * (because again g = g), which will mean Φ( g, f ) = g , f ∈ B, what we want to show.</p><p>By above definitions we obtain: </p><formula xml:id="formula_23">f ↓ * = { x, d * X ∈ X × * X [L] : x, d ∈ f ↓ }, = { x, d ∈ X × * X [L] : x, d * X ∈ f ↓ }, (because * X • * X = * X , we have d * X = d for all d ∈ * X [L]), = { x, d ∈ X × * X [L] : d ≤ f ↓ (x)}, = { x, d ∈ X × * X [L] : d ≤ y∈Y (f (y) * Y → I(x, y))}, = { x, d ∈ X × * X [L] : (∀y ∈ Y )(f (y) * Y ⊗ d ≤ I(x, y))}, = { x, d ∈ X × * X [L] : (∀y ∈ Y )(f (y)⊗d ≤ I(x, y))} (because * Y • * Y = * Y , we have c * Y = c for all c ∈ * Y [L], especially f (y) ∈ * Y [L]), = { x, d ∈ X × * X [L] : d ≤ sup{e ∈ * X [L] : (∀y ∈ Y )f (y) ⊗ e ≤ I(x, y)}}, = { x, d ∈ X × * X [L] : d ≤ (f )(x)}, = { x, d ∈ X × * X [L] : d ≤ g(x)}, =<label>g</label></formula><formula xml:id="formula_24">T (y) = S ↑ * (y), = {a ∈ L : y, a ∈ S ↑ * }, = {a ∈ * Y [L] : y, a ∈ S ↑ * }, ∈ * Y [L] (because of lemma 2).</formula><p>Hence by above definitions we obtain for every x ∈ X:</p><formula xml:id="formula_25">( T )(x) = sup{d ∈ * X [L] : (∀y ∈ Y ) T (y) ⊗ d ≤ I(x, y)}, = sup{d ∈ * X [L] : (∀y ∈ Y ) T (y) * Y ⊗ d ≤ I(x, y)} (because * Y • * Y = * Y , we have c * Y = c for all c ∈ * Y [L], especially for T (y) as we have shown above), = sup{d ∈ * X [L] : d ≤ y∈Y ( T (y) * Y → I(x, y))}, = sup{d ∈ * X [L] : d ≤ T ↓ (x)}, = sup{d ∈ * X [L] : x, d ∈ T ↓ }, = sup{d ∈ * X [L] : x, d * X ∈ T ↓ * }, = sup{d ∈ * X [L] : x, d ∈ T ↓ * } (because * X • * X = * X , we have d * X = d for all d ∈ * X [L]), = sup{d ∈ L : x, d ∈ T ↓ * } (the (stronger) condition d ∈ * X [L] is covered by the condition x, d ∈ T ↓ * ), = sup{d ∈ L : x, d ∈ S}, = {d ∈ L : x, d ∈ S}, = S (x).</formula><p>So we have ( T ) = S , and the equality ( S ) = T can be proven symmetrically.</p><formula xml:id="formula_26">Claim 3 If g, f ∈ L then Φ(Ψ ( g, f )) = g, f . Proof. Φ(Ψ ( g, f )) =</formula><p>g , f = g, f because of lemma 5. (You can see that assumption g, f ∈ L is only formal, we do not need it.)</p><formula xml:id="formula_27">Claim 4 If S, T ∈ B then Ψ (Φ( S, T )) = S, T .</formula><p>Proof. By definition we obtain Ψ (Φ( S, T )) = S , T , so we want to prove that S = S and T = T .</p><p>For one inclusion we will need the following observation: Because S, T ∈ B, we have S = T = T ↓ * , i. e. S = g * for some g : X → * X <ref type="bibr">[L]</ref>.</p><p>Using definitions we obtain:</p><formula xml:id="formula_28">x, d ∈ S iff d ≤ S (x), iff d ≤ {e ∈ L : x, e ∈ S}, iff d ≤ {e ∈ L : x, e ∈ g * }, iff d ≤ {e ∈ * X [L] : x, e * X ∈ g * } (because if x, e ∈ g * then e ∈ * X [L] and e = e * X ), iff d ≤ {e ∈ * X [L] : x, e ∈ g }, iff d ≤ {e ∈ * X [L] : e ≤ g(x)} = g(x), iff x, d ∈ g and d ∈ * X [L], iff x, d * X ∈ g * and d ∈ * X [L], iff x, d ∈ g * (because * X • * X = * X , so d = d * X for all d ∈ * X [L]), iff x, d ∈ S.</formula><p>So we have S = S, and the second equality T = T can be proven symmetrically.</p><p>Claim 5 Φ is order-preserving.</p><p>Proof. Let g 1 , f 1 , g 2 , f 2 ∈ L and g 1 , f 1 ≤ g 2 , f 2 . This inequality means that g 1 ≤ g 2 and f 1 ≥ f 2 (pointwise) and by monotonicity of • we obtain g 1 ⊆ g 2 and f</p><formula xml:id="formula_29">1 ⊇ f 2 , which implies Φ( g 1 , f 1 ) = g 1 , f 1 ≤ g 2 , f 2 = Φ( g 2 , f 2 ).</formula><p>Claim 6 Ψ is order-preserving.</p><p>Proof. Let S 1 , T 1 , S 2 , T 2 ∈ B and S 1 , T 1 ≤ S 2 , T 2 . This inequality means that S 1 ⊆ S 2 and T 1 ⊇ T 2 and by monotonicity of • we obtain S 1 ≤ S 2 and T 1 ≥ T 2 , which implies Ψ ( S 1 , T 1 ) = S 1 , T 1 ≤ S 2 , T 2 = Ψ ( S 2 , T 2 ). Now we have proven that the lattices B and L are isomorphic. Hence we have this:</p><p>Corrolary 1 The lattices L( X ( * X [L]), Y ( * Y [L]), I) and B(X * X , Y * Y , I) are isomorphic.</p><p>Or we can say it in another words, that every concept lattice with hedges is isomorphic to some generalized concept lattice.</p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head n="6">Conclusions</head><p>In this paper we showed that the notion of a generalized concept lattice defined in <ref type="bibr" target="#b10">[10]</ref>  The inverse question arises how big is distinction between these classes, e. g. what additional conditions are needed for a generalized concept lattices to be isomorphic to some fuzzy concept lattice with hedges. Or are these notions the same?. . .</p></div><figure xmlns="http://www.tei-c.org/ns/1.0" xml:id="fig_0"><head>Lemma 1 .Lemma 2 .Lemma 3 .</head><label>123</label><figDesc>Every hedge is monotonous, i. e. a ≤ b implies a * ≤ b * .Proof. By properties of a hedge we obtain:a ≤ b iff 1 ⊗ a ≤ b iff 1 ≤ a → b iff 1 = a → b, which implies 1 = (a → b) * ≤ a * → b * ,and then a * = 1 ⊗ a * ≤ b * . For every hedge * if A ⊆ * [L] then sup A ∈ * [L]. Proof. For every a ∈ A we know a ≤ sup A, and then (from the previous lemma) a = a * = (sup A) * . It means that (sup A) * is an upper bound of A, which implies sup A ≤ (sup A) * . But it follows sup A = (sup A) * , i. e. sup A ∈ * [L]. The function • is monotonous.</figDesc></figure>
<figure xmlns="http://www.tei-c.org/ns/1.0" xml:id="fig_1"><head>,Claim 2</head><label>2</label><figDesc>So we have f ↓ * = g , and the equality g ↑ * = f can be proven symmetrically. If S, T ∈ B then Φ( S, T ) ∈ L. Proof. Let S, T ∈ B, i. e. S = T = T ↓ * and T = S = S ↑ * , we want to prove ( S ) = T and ( T ) = S which will mean Ψ ( S, T ) = S , T ∈ L, what we want to show. Firstly we show that for all y ∈ Y we have T (y) ∈ * Y [L]:</figDesc></figure>
<figure xmlns="http://www.tei-c.org/ns/1.0" xml:id="fig_2"><head></head><label></label><figDesc>contains as a part the notion of a fuzzy concept lattice with hedges. Hence relationships between all classes of concept lattices mentioned in Introduction can be depicted in this diagram:</figDesc></figure>
		</body>
		<back>

			<div type="funding">
<div xmlns="http://www.tei-c.org/ns/1.0"><p>Partially supported by grant 1/0385/03 of the Slovak grant agency VEGA.</p></div>
			</div>

			<div type="references">

				<listBibl>

<biblStruct xml:id="b0">
	<analytic>
		<title level="a" type="main">Concept Lattices and Order in Fuzzy Logic</title>
		<author>
			<persName><forename type="first">R</forename><surname>Bělohlávek</surname></persName>
		</author>
	</analytic>
	<monogr>
		<title level="j">Annals of Pure and Applied Logic</title>
		<imprint>
			<biblScope unit="volume">128</biblScope>
			<biblScope unit="page" from="277" to="298" />
			<date type="published" when="2004">2004</date>
		</imprint>
	</monogr>
</biblStruct>

<biblStruct xml:id="b1">
	<analytic>
		<title level="a" type="main">Galois Connection with Truth Stressers: Foundation for Formal Concept Analysis of Object-Attribute Data with Fuzzy Stressers</title>
		<author>
			<persName><forename type="first">R</forename><surname>Bělohlávek</surname></persName>
		</author>
		<author>
			<persName><forename type="first">T</forename><surname>Funioková</surname></persName>
		</author>
		<author>
			<persName><forename type="first">V</forename><surname>Vychodil</surname></persName>
		</author>
	</analytic>
	<monogr>
		<title level="j">Journal of IGPL</title>
		<imprint/>
	</monogr>
</biblStruct>

<biblStruct xml:id="b2">
	<analytic>
		<title level="a" type="main">Reducing the size of fuzzy concept lattices by hedges</title>
		<author>
			<persName><forename type="first">R</forename><surname>Bělohlávek</surname></persName>
		</author>
		<author>
			<persName><forename type="first">V</forename><surname>Vychodil</surname></persName>
		</author>
		<idno>Number: 05CH37680</idno>
	</analytic>
	<monogr>
		<title level="m">The 14th IEEE International Conference on Fuzzy Systems</title>
				<imprint>
			<publisher>IEEE</publisher>
			<date type="published" when="2005">2005</date>
			<biblScope unit="volume">0780391586</biblScope>
			<biblScope unit="page" from="663" to="668" />
		</imprint>
	</monogr>
	<note>Proceedings of FUZZ-IEEE 2005</note>
</biblStruct>

<biblStruct xml:id="b3">
	<analytic>
		<title level="a" type="main">Crisply generated fuzzy concepts: reducing the number of concepts in formal concept analysis</title>
		<author>
			<persName><forename type="first">R</forename><surname>Bělohlávek</surname></persName>
		</author>
		<author>
			<persName><forename type="first">V</forename><surname>Sklenář</surname></persName>
		</author>
		<author>
			<persName><forename type="first">J</forename></persName>
		</author>
	</analytic>
	<monogr>
		<title level="m">Proc. 5th Int. Conf. on Recent Advances in Soft Computing, RASC 2004</title>
				<meeting>5th Int. Conf. on Recent Advances in Soft Computing, RASC 2004<address><addrLine>Nottingham, United Kingdom</addrLine></address></meeting>
		<imprint>
			<biblScope unit="page" from="16" to="18" />
		</imprint>
	</monogr>
</biblStruct>

<biblStruct xml:id="b4">
	<monogr>
		<title/>
		<imprint>
			<date type="published" when="2004-12">December, 2004</date>
			<biblScope unit="page" from="524" to="529" />
		</imprint>
	</monogr>
	<note>extended abstract). full paper on the included CD)</note>
</biblStruct>

<biblStruct xml:id="b5">
	<analytic>
		<title level="a" type="main">Discovering knowledge from fuzzy concept lattice</title>
		<author>
			<persName><forename type="first">S</forename><surname>Ben Yahia</surname></persName>
		</author>
		<author>
			<persName><forename type="first">A</forename><surname>Jaoua</surname></persName>
		</author>
	</analytic>
	<monogr>
		<title level="m">Data Mining and Computational Intelligence</title>
				<editor>
			<persName><forename type="first">A</forename><surname>Kandel</surname></persName>
		</editor>
		<editor>
			<persName><forename type="first">M</forename><surname>Last</surname></persName>
		</editor>
		<editor>
			<persName><forename type="first">H</forename><surname>Bunke</surname></persName>
		</editor>
		<imprint>
			<publisher>Physica-Verlag</publisher>
			<date type="published" when="2001">2001</date>
			<biblScope unit="page" from="169" to="190" />
		</imprint>
	</monogr>
</biblStruct>

<biblStruct xml:id="b6">
	<analytic>
		<title level="a" type="main">The study of L-fuzzy concept lattice</title>
		<author>
			<persName><forename type="first">A</forename><surname>Burusco</surname></persName>
		</author>
		<author>
			<persName><forename type="first">R</forename><surname>Fuentes-Gonzalez</surname></persName>
		</author>
	</analytic>
	<monogr>
		<title level="j">Mathware &amp; Soft Computing</title>
		<imprint>
			<biblScope unit="volume">3</biblScope>
			<biblScope unit="page" from="209" to="218" />
			<date type="published" when="1994">1994</date>
		</imprint>
	</monogr>
</biblStruct>

<biblStruct xml:id="b7">
	<monogr>
		<title level="m" type="main">Formal Concept Analysis</title>
		<author>
			<persName><forename type="first">B</forename><surname>Ganter</surname></persName>
		</author>
		<author>
			<persName><forename type="first">R</forename><surname>Wille</surname></persName>
		</author>
		<imprint>
			<date type="published" when="1999">1999</date>
			<publisher>Springer Verlag</publisher>
		</imprint>
	</monogr>
</biblStruct>

<biblStruct xml:id="b8">
	<analytic>
		<title level="a" type="main">Cluster based efficient generation of fuzzy concepts</title>
		<author>
			<persName><forename type="first">S</forename><surname>Krajči</surname></persName>
		</author>
	</analytic>
	<monogr>
		<title level="j">Neural Network World</title>
		<imprint>
			<biblScope unit="volume">13</biblScope>
			<biblScope unit="issue">5</biblScope>
			<biblScope unit="page" from="521" to="530" />
			<date type="published" when="2003">2003</date>
		</imprint>
	</monogr>
</biblStruct>

<biblStruct xml:id="b9">
	<analytic>
		<title level="a" type="main">The basic theorem on generalized concept lattice</title>
		<author>
			<persName><forename type="first">S</forename><surname>Krajči</surname></persName>
		</author>
	</analytic>
	<monogr>
		<title level="m">CLA 2004, Ostrava, proceedings of the 2nd international workshop</title>
				<editor>
			<persName><forename type="first">V</forename><surname>Snášel</surname></persName>
		</editor>
		<editor>
			<persName><forename type="first">R</forename><surname>Bělohlávek</surname></persName>
		</editor>
		<imprint>
			<biblScope unit="page" from="25" to="33" />
		</imprint>
	</monogr>
</biblStruct>

<biblStruct xml:id="b10">
	<analytic>
		<title level="a" type="main">A generalized concept lattice</title>
		<author>
			<persName><forename type="first">S</forename><surname>Krajči</surname></persName>
		</author>
	</analytic>
	<monogr>
		<title level="j">Journal of IGPL</title>
		<imprint/>
	</monogr>
</biblStruct>

<biblStruct xml:id="b11">
	<analytic>
		<title level="a" type="main">Datenanalyse mit Fuzzy-Begriffen</title>
		<author>
			<persName><forename type="first">S</forename><surname>Pollandt</surname></persName>
		</author>
	</analytic>
	<monogr>
		<title level="m">Begriffliche Wissensverarbeitung. Methoden und Anwendungen</title>
				<editor>
			<persName><forename type="first">G</forename><surname>Stumme</surname></persName>
		</editor>
		<editor>
			<persName><forename type="first">R</forename><surname>Wille</surname></persName>
		</editor>
		<meeting><address><addrLine>Heidelberg</addrLine></address></meeting>
		<imprint>
			<publisher>Springer</publisher>
			<date type="published" when="2000">2000</date>
			<biblScope unit="page" from="72" to="98" />
		</imprint>
	</monogr>
</biblStruct>

				</listBibl>
			</div>
		</back>
	</text>
</TEI>
