An Improved EDAS Method Based on Bipolar Neutrosophic Set and Its Application in Group Decision-Making

<div>The average solution matrix <span class="nowrap"><svg height="9.25986pt" id="M354" style="vertical-align:-0.2455397pt" version="1.1" viewbox="-0.0498162 -9.01432 23.4178 9.25986" width="23.4178pt" 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="M837 672C829 675 822 674 813 674C710 674 608 541 510 398C475 447 422 480 349 480C260 480 162 415 162 299C162 199 212 133 284 92C229 39 191 15 134 15C91 15 69 45 69 65H71C78 54 95 53 100 53C128 53 143 80 143 101C143 128 121 149 93 149C60 149 31 121 31 77C31 24 74 -15 138 -15C198 -15 255 22 311 79C360 56 416 43 473 39L455 0H552L569 42C612 49 661 63 693 87L684 103C657 88 617 76 581 69C677 301 753 477 846 658L837 672ZM772 638C701 530 628 379 559 227C558 279 547 330 526 371C609 494 688 609 771 638H772ZM536 199C536 191 536 184 535 176L486 67C430 71 380 84 335 105C395 173 451 257 507 344C527 301 536 251 536 199ZM492 372C431 277 369 183 310 119C245 158 203 217 203 301S275 447 349 447C416 447 461 417 492 372Z"></path></g><g transform="matrix(.013,0,0,-0.013,11.115,0)"><path d="M214 21C291 90 365 210 421 347C466 459 502 542 606 654L591 669L564 647C523 612 476 598 440 598C417 598 389 610 354 629C284 664 259 678 218 678C121 678 35 602 35 527C35 453 94 401 174 401C242 401 290 443 323 508L307 517C274 464 229 431 176 431C113 431 76 473 76 525S130 626 194 626C262 626 339 543 435 543C446 543 462 545 471 548L474 545C385 459 329 384 281 262C214 94 191 43 134 -9C167 -16 174 -15 181 -15C246 -15 310 18 385 77C452 128 534 229 634 385C741 552 801 627 834 646H835C835 614 852 597 879 597C902 597 922 615 922 640C922 668 900 687 872 687C802 687 722 573 607 397C470 188 363 51 216 19L214 21Z"></path></g></svg>.</span></div>

Applied Computational Intelligence and Soft Computing

tab8

Table 8

Table 8: An Improved EDAS Method Based on Bipolar Neutrosophic Set and Its Application in Group Decision-Making 