Novel Information Measures for Fermatean Fuzzy Sets and Their Applications to Pattern Recognition and Medical Diagnosis

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center">Blood pressure</td><td class="align_center">Ulcer</td><td class="align_center">Vision problem</td><td class="align_center">Stress</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Ragu</td><td class="align_center">0.2961</td><td class="align_center">0.1539</td><td class="align_center">0.1047</td><td class="align_center"><span style="width: 35.6966ptpx;"><svg height="8.48998pt" id="M548" style="vertical-align:-0.2324896pt" version="1.1" viewbox="-0.0498162 -8.25749 35.6966 8.48998" width="35.6966pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M252 635C85 635 28 460 28 311C28 167 82 -12 250 -12C419 -12 472 166 472 312C472 457 419 635 252 635ZM248 594C314 594 335 455 335 314C335 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class="align_center">0.2536</td><td class="align_center">0.1618</td><td class="align_center">0.1093</td><td class="align_center"><span style="width: 35.6966ptpx;"><svg height="8.48998pt" id="M551" style="vertical-align:-0.2324896pt" version="1.1" viewbox="-0.0498162 -8.25749 35.6966 8.48998" width="35.6966pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M252 635C85 635 28 460 28 311C28 167 82 -12 250 -12C419 -12 472 166 472 312C472 457 419 635 252 635ZM248 594C314 594 335 455 335 314C335 174 318 29 252 29S165 180 165 315S181 594 248 594Z"></path></g><g transform="matrix(.013,0,0,-0.013,6.5,0)"><path d="M113 -12C146 -12 170 11 170 46C170 78 146 103 114 103S58 78 58 46C58 11 82 -12 113 -12Z"></path></g><g transform="matrix(.013,0,0,-0.013,9.464,0)"><path d="M252 635C85 635 28 460 28 311C28 167 82 -12 250 -12C419 -12 472 166 472 312C472 457 419 635 252 635ZM248 594C314 594 335 455 335 314C335 174 318 29 252 29S165 180 165 315S181 594 248 594Z"></path></g><g transform="matrix(.013,0,0,-0.013,15.964,0)"><path d="M262 635C141 635 57 556 57 461C57 387 108 338 166 306C137 289 92 261 74 245C56 228 32 204 32 157C32 55 118 -12 249 -12C346 -12 472 51 472 178C472 266 409 313 339 351C378 376 396 392 412 406C435 428 445 453 445 480C445 569 371 635 262 635ZM246 595C286 595 338 561 338 475C338 417 318 386 301 370C224 406 172 439 172 507C172 549 199 595 246 595ZM260 28C210 28 152 72 152 169C152 221 175 265 204 287C301 235 350 209 351 137C352 71 315 28 260 28Z"></path></g><g transform="matrix(.013,0,0,-0.013,22.464,0)"><path d="M252 635C85 635 28 460 28 311C28 167 82 -12 250 -12C419 -12 472 166 472 312C472 457 419 635 252 635ZM248 594C314 594 335 455 335 314C335 174 318 29 252 29S165 180 165 315S181 594 248 594Z"></path></g><g transform="matrix(.013,0,0,-0.013,28.964,0)"><path d="M306 382C339 403 362 417 379 433C398 450 411 473 411 500C411 578 352 635 248 635H247C181 635 134 604 106 573L56 506L82 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<div>The distance between the patient and the set of probable diagnoses using <span class="nowrap"><svg height="12.1958pt" id="M547" style="vertical-align:-3.181479pt" version="1.1" viewbox="-0.0498162 -9.01432 16.5942 12.1958" width="16.5942pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M810 587C770 574 761 568 725 543C654 630 540 687 408 687C217 687 69 577 69 430C69 319 160 247 276 247C369 247 511 319 511 495C511 510 512 523 509 538H490C490 354 393 277 274 277C174 277 110 344 110 422C110 559 219 655 415 655C524 655 636 602 695 519C628 463 572 392 516 303C433 170 377 97 313 57C252 89 199 109 143 109C79 109 36 87 36 54C36 15 82 -9 165 -9C222 -9 276 0 326 18C373 -1 423 -15 482 -15C645 -15 804 133 804 324C804 393 783 458 747 514C776 546 781 551 818 567L810 587ZM756 336C756 135 623 16 478 16C439 16 402 24 367 36C386 45 401 56 420 68C505 127 569 206 616 302C647 362 679 427 719 480C744 435 756 387 756 336ZM276 39C243 26 207 21 164 21C106 21 77 32 77 54C77 75 125 79 144 79C191 79 227 66 276 39Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,11.505,3.132)"><path d="M389 0V32C297 38 291 46 291 118V635C234 613 175 595 109 583V556L161 554C203 552 207 547 207 497V118C207 46 201 38 110 32V0H389Z"></path></g></svg>.</span></div>

Computational Intelligence and Neuroscience

tab4

Table 4

Table 4: Novel Information Measures for Fermatean Fuzzy Sets and Their Applications to Pattern Recognition and Medical Diagnosis 