A Neural Network-Based Approach to Multi-Attribute Group Decision-Making with Heterogeneous Preference Information

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transform="matrix(.0091,0,0,-0.0091,9.257,-5.741)"><path d="M414 144C384 79 371 75 317 75H135L276 221C367 316 408 376 408 465C408 570 327 635 237 635C179 635 131 609 100 575L42 494L67 471C94 510 138 565 205 565C277 565 321 517 321 435C321 348 258 270 195 195C146 137 88 81 33 26V0H411C423 44 433 88 446 135L414 144Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,8.931,3.784)"><path d="M462 177V227H365V632H320C217 496 116 350 21 208V177H284V109C284 43 280 38 190 31V0H451V31C369 38 365 43 365 108V177H462ZM284 227H88C155 336 218 430 282 519H284V227Z"></path></g></svg></span></td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Attribute weights</td><td class="align_center">0.1665</td><td class="align_center">0.2931</td><td class="align_center">0.2297</td><td class="align_center">0.3107</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Attribute weights after training the neural network for the decision information of expert <i>e</i><sup>2</sup>.</div>

Scientific Programming

tab7

Table7

Table7: A Neural Network-Based Approach to Multi-Attribute Group Decision-Making with Heterogeneous Preference Information 