{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:31:38Z","timestamp":1777703498149,"version":"3.51.4"},"reference-count":34,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2019,6,18]],"date-time":"2019-06-18T00:00:00Z","timestamp":1560816000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2019,9,9]]},"abstract":"<jats:p>\n                    \u00a0A new category of similarity measures is investigated in this work, we first introduce the concept of effect matrix\n                    <jats:inline-formula>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" overflow=\"scroll\">\n                        <mml:mover>\n                          <mml:mi>T<\/mml:mi>\n                          <mml:mo>\u2227<\/mml:mo>\n                        <\/mml:mover>\n                        <mml:mo>(<\/mml:mo>\n                        <mml:msub>\n                          <mml:mi mathvariant=\"fraktur\">R<\/mml:mi>\n                          <mml:mn>1<\/mml:mn>\n                        <\/mml:msub>\n                        <mml:mo>\u00d7<\/mml:mo>\n                        <mml:msub>\n                          <mml:mi mathvariant=\"fraktur\">R<\/mml:mi>\n                          <mml:mn>2<\/mml:mn>\n                        <\/mml:msub>\n                        <mml:mo>,<\/mml:mo>\n                        <mml:msub>\n                          <mml:mi>p<\/mml:mi>\n                          <mml:mi>n<\/mml:mi>\n                        <\/mml:msub>\n                        <mml:mo>,<\/mml:mo>\n                        <mml:msub>\n                          <mml:mi>q<\/mml:mi>\n                          <mml:mi>m<\/mml:mi>\n                        <\/mml:msub>\n                        <mml:mo>)<\/mml:mo>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    of type 2-tuple and study some of their properties. Moreover, from the soft set we find the pictures of type regular and irregular using effect matrix\n                    <jats:inline-formula>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" overflow=\"scroll\">\n                        <mml:mover>\n                          <mml:mi>T<\/mml:mi>\n                          <mml:mo>\u2227<\/mml:mo>\n                        <\/mml:mover>\n                        <mml:mo>(<\/mml:mo>\n                        <mml:msub>\n                          <mml:mi mathvariant=\"fraktur\">R<\/mml:mi>\n                          <mml:mn>1<\/mml:mn>\n                        <\/mml:msub>\n                        <mml:mo>\u00d7<\/mml:mo>\n                        <mml:msub>\n                          <mml:mi mathvariant=\"fraktur\">R<\/mml:mi>\n                          <mml:mn>2<\/mml:mn>\n                        <\/mml:msub>\n                        <mml:mo>,<\/mml:mo>\n                        <mml:msub>\n                          <mml:mi>p<\/mml:mi>\n                          <mml:mi>n<\/mml:mi>\n                        <\/mml:msub>\n                        <mml:mo>,<\/mml:mo>\n                        <mml:msub>\n                          <mml:mi>q<\/mml:mi>\n                          <mml:mi>m<\/mml:mi>\n                        <\/mml:msub>\n                        <mml:mo>)<\/mml:mo>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    of type 2-tuple. An effect matrix\n                    <jats:inline-formula>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" overflow=\"scroll\">\n                        <mml:mover>\n                          <mml:mi>T<\/mml:mi>\n                          <mml:mo>\u2227<\/mml:mo>\n                        <\/mml:mover>\n                        <mml:mo>(<\/mml:mo>\n                        <mml:msub>\n                          <mml:mi mathvariant=\"fraktur\">R<\/mml:mi>\n                          <mml:mn>1<\/mml:mn>\n                        <\/mml:msub>\n                        <mml:mo>\u00d7<\/mml:mo>\n                        <mml:msub>\n                          <mml:mi mathvariant=\"fraktur\">R<\/mml:mi>\n                          <mml:mn>2<\/mml:mn>\n                        <\/mml:msub>\n                        <mml:mo>,<\/mml:mo>\n                        <mml:msub>\n                          <mml:mi>p<\/mml:mi>\n                          <mml:mi>n<\/mml:mi>\n                        <\/mml:msub>\n                        <mml:mo>,<\/mml:mo>\n                        <mml:msub>\n                          <mml:mi>q<\/mml:mi>\n                          <mml:mi>m<\/mml:mi>\n                        <\/mml:msub>\n                        <mml:mo>)<\/mml:mo>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    of type 2-tuple is better than effect matrix\n                    <jats:inline-formula>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" overflow=\"scroll\">\n                        <mml:mover>\n                          <mml:mi>E<\/mml:mi>\n                          <mml:mo>\u2227<\/mml:mo>\n                        <\/mml:mover>\n                        <mml:mo>(<\/mml:mo>\n                        <mml:mi mathvariant=\"fraktur\">R<\/mml:mi>\n                        <mml:mo>,<\/mml:mo>\n                        <mml:msub>\n                          <mml:mi>p<\/mml:mi>\n                          <mml:mi>n<\/mml:mi>\n                        <\/mml:msub>\n                        <mml:mo>,<\/mml:mo>\n                        <mml:msub>\n                          <mml:mi>q<\/mml:mi>\n                          <mml:mi>m<\/mml:mi>\n                        <\/mml:msub>\n                        <mml:mo>)<\/mml:mo>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    of type 1-tuple, because we can deal with two different sets\n                    <jats:inline-formula>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" overflow=\"scroll\">\n                        <mml:msub>\n                          <mml:mi mathvariant=\"fraktur\">R<\/mml:mi>\n                          <mml:mn>1<\/mml:mn>\n                        <\/mml:msub>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    (a family of objectives) and\n                    <jats:inline-formula>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" overflow=\"scroll\">\n                        <mml:msub>\n                          <mml:mi mathvariant=\"fraktur\">R<\/mml:mi>\n                          <mml:mn>2<\/mml:mn>\n                        <\/mml:msub>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    (a family of parameters) in the same problem. This burden can be alleviated by application of type 2-tuple. Some applications of soft effect matrix of type 2-tuple\n                    <jats:inline-formula>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" overflow=\"scroll\">\n                        <mml:mover>\n                          <mml:mi>T<\/mml:mi>\n                          <mml:mo>\u2227<\/mml:mo>\n                        <\/mml:mover>\n                        <mml:mo>(<\/mml:mo>\n                        <mml:msub>\n                          <mml:mi mathvariant=\"fraktur\">R<\/mml:mi>\n                          <mml:mn>1<\/mml:mn>\n                        <\/mml:msub>\n                        <mml:mo>\u00d7<\/mml:mo>\n                        <mml:msub>\n                          <mml:mi mathvariant=\"fraktur\">R<\/mml:mi>\n                          <mml:mn>2<\/mml:mn>\n                        <\/mml:msub>\n                        <mml:mo>,<\/mml:mo>\n                        <mml:msub>\n                          <mml:mi>p<\/mml:mi>\n                          <mml:mi>n<\/mml:mi>\n                        <\/mml:msub>\n                        <mml:mo>,<\/mml:mo>\n                        <mml:msub>\n                          <mml:mi>q<\/mml:mi>\n                          <mml:mi>m<\/mml:mi>\n                        <\/mml:msub>\n                        <mml:mo>)<\/mml:mo>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    in decision making problems are studied and explained. In this work we deal with pictures. Moreover, the similarity measure between two different soft sets under the same universal soft set\n                    <jats:inline-formula>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" overflow=\"scroll\">\n                        <mml:mo>(<\/mml:mo>\n                        <mml:msub>\n                          <mml:mi mathvariant=\"fraktur\">R<\/mml:mi>\n                          <mml:mn>1<\/mml:mn>\n                        <\/mml:msub>\n                        <mml:mo>\u00d7<\/mml:mo>\n                        <mml:msub>\n                          <mml:mi mathvariant=\"fraktur\">R<\/mml:mi>\n                          <mml:mn>2<\/mml:mn>\n                        <\/mml:msub>\n                        <mml:mo>)<\/mml:mo>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    can be studied and explained its applications in medical diagnosis problems.\n                  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