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    <link>https://ir.vidyasagar.ac.in/jspui/handle/123456789/1292</link>
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    <pubDate>Sun, 26 Apr 2026 06:09:54 GMT</pubDate>
    <dc:date>2026-04-26T06:09:54Z</dc:date>
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      <title>Balanced Interval-Valued Fuzzy Graphs</title>
      <link>https://ir.vidyasagar.ac.in/jspui/handle/123456789/875</link>
      <description>Title: Balanced Interval-Valued Fuzzy Graphs
Authors: Rashmanlou, Hossein; Pal, Madhumangal
Abstract: In this paper, we discuss notion of ring sum of product interval-valued fuzzy graphs. We
define tensor product of two interval-valued fuzzy graphs and shown that the tensor
product of two product interval-valued fuzzy graphs is a product interval-valued fuzzy
graph. Likewise, given three independent theorems based on ring sum, join and
isomorphism of product interval-valued fuzzy graphs. Finally, we define balanced and
strictly balanced interval-valued fuzzy graphs and investigated several properties</description>
      <pubDate>Thu, 26 Dec 2013 00:00:00 GMT</pubDate>
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      <dc:date>2013-12-26T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Multiple Regression of Fuzzy-Valued Variable</title>
      <link>https://ir.vidyasagar.ac.in/jspui/handle/123456789/792</link>
      <description>Title: Multiple Regression of Fuzzy-Valued Variable
Authors: Sarkar, Srabani; Pal, Madhumangal
Abstract: In fuzzy domain, a variable (vague linguistic term) often depends not only on a
single variable but on more then one variables. In such a situation multiple
regression analysis is more appropriate than simple regression analysis involving
one independent variable. This paper introduces fuzzy multiple regression equations
of fuzzy sets those are treated as a variable with certain values assigned to them. The
error analysis is done by using standard least square technique
Description: 57-66</description>
      <pubDate>Thu, 01 Jan 2009 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://ir.vidyasagar.ac.in/jspui/handle/123456789/792</guid>
      <dc:date>2009-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Circulant Triangular Fuzzy Number Matrices</title>
      <link>https://ir.vidyasagar.ac.in/jspui/handle/123456789/754</link>
      <description>Title: Circulant Triangular Fuzzy Number Matrices
Authors: Bhowmik, Monoranjan; Pal, Madhumangal; Pal, Anita
Abstract: In this paper, we present some operations on circulant triangular fuzzy numbers
matrices (TFNMs). The first row of the circulant matrices play important role in this
study. We also study some properties of determinant and adjoint of circulant
TFNMs. Finally, we investigate the distance of generalized TFNMs by a systematic
process.
Description: 141-154</description>
      <pubDate>Tue, 01 Jan 2008 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://ir.vidyasagar.ac.in/jspui/handle/123456789/754</guid>
      <dc:date>2008-01-01T00:00:00Z</dc:date>
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    <item>
      <title>A Sequential Algorithm to Solve Next-to-Shortest Path Problem on Circular-arc Graphs</title>
      <link>https://ir.vidyasagar.ac.in/jspui/handle/123456789/717</link>
      <description>Title: A Sequential Algorithm to Solve Next-to-Shortest Path Problem on Circular-arc Graphs
Authors: Pal, Madhumangal; Mandal, Swagata
Abstract: In this article, we study the problem of finding the next-to-shortest path in
circular-arc graph. A next-to-shortest path between any pair of vertices in a
shortest path amongst all paths between those vertices with length strictly greater
than the length of the shortest path. The next-to-shortest path problem in a
directed graph in NP-hard. Here we deigned a polynomial time algorithm to
solve this problem for the circular-arc graph.
Description: 201-217</description>
      <pubDate>Sun, 01 Jan 2006 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://ir.vidyasagar.ac.in/jspui/handle/123456789/717</guid>
      <dc:date>2006-01-01T00:00:00Z</dc:date>
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