/**
* Gather and parse assessments made about user
* Input: set of assessments already filtered
* Output: karma term
*/
function userKarma_decisionMaking($valorationlist)
{
if (sizeof($valorationlist) <= 0) {
return elgg_echo('hflts:karma:none');
}
$count = 0;
$data = array('_', '_');
$enablePesos = elgg_get_plugin_setting('weight_assessments', 'hflts');
$C_weight = null;
$enableExpertos = elgg_get_plugin_setting('weight_experts', 'hflts');
$E_weight = null;
if (is_array($valorationlist)) {
foreach ($valorationlist as $evaluation) {
$data[$count] = array('ref' => $evaluation->user_guid, 'co_codigo' => $evaluation->owner_guid);
//more to come
if (!is_array($evaluation->criterion1)) {
$data[$count]['U1'] = $evaluation->criterion1;
$data[$count]['L1'] = $evaluation->criterion1;
} else {
$n = count($evaluation->criterion1) - 1;
$data[$count]['U1'] = $evaluation->criterion1[$n];
$data[$count]['L1'] = $evaluation->criterion1[0];
}
if (!is_array($evaluation->criterion2)) {
$data[$count]['U2'] = $evaluation->criterion2;
$data[$count]['L2'] = $evaluation->criterion2;
} else {
$n = count($evaluation->criterion2) - 1;
$data[$count]['U2'] = $evaluation->criterion2[$n];
$data[$count]['L2'] = $evaluation->criterion2[0];
}
if (!is_array($evaluation->criterion3)) {
$data[$count]['U3'] = $evaluation->criterion3;
$data[$count]['L3'] = $evaluation->criterion3;
} else {
$n = count($evaluation->criterion3) - 1;
$data[$count]['U3'] = $evaluation->criterion3[$n];
$data[$count]['L3'] = $evaluation->criterion3[0];
}
if (!is_array($evaluation->criterion4)) {
$data[$count]['U4'] = $evaluation->criterion4;
$data[$count]['L4'] = $evaluation->criterion4;
} else {
$n = count($evaluation->criterion4) - 1;
$data[$count]['U4'] = $evaluation->criterion4[$n];
$data[$count]['L4'] = $evaluation->criterion4[0];
}
if ($enablePesos) {
$C_weight[$count] = array($evaluation->weight1, $evaluation->weight2, $evaluation->weight3, $evaluation->weight4);
}
if ($enableExpertos) {
$expert = get_user($evaluation->owner_guid);
$E_weight[$count] = $expert->userpoints_points;
}
//$evaluation->delete();//to clean
$count++;
}
}
$computed_weight = relativeUserExpertise($E_weight);
if ($count >= 2) {
$method = new AggregationHFLTS($evaluation->user_guid);
$method->setData($data, $C_weight, $E_weight, $count, $evaluation->granularity);
$model->collectiveValoration = $method->run();
unset($method);
//destroys the object
//set valoration on user's profile
$user = get_user($evaluation->user_guid);
//system_message($count . "# " . $user->username . " @ " . $model->collectiveValoration);
return $model->collectiveValoration;
} else {
return elgg_echo("hflts:karma:none");
}
}
$method = new VikorHFL($evaluation->user_guid);
$method->setData($data, $C_weight, $E_weight, $count, $evaluation->granularity);
$model->collectiveValoration = $method->run();
unset($method);
//destroys the object
}
if ($model->label == "todim") {
$method = new TodimHFL($evaluation->user_guid);
$method->setData($data, $C_weight, $E_weight, $count, $evaluation->granularity);
$model->collectiveValoration = $method->run();
unset($method);
//destroys the object
}
//run it the last
if ($model->label == "classic") {
$method = new AggregationHFLTS($evaluation->user_guid);
$method->setData($data, $C_weight, $E_weight, $count, $evaluation->granularity);
$model->collectiveValoration = $method->run();
unset($method);
//destroys the object
//set valoration on user's profile
$user = get_user($evaluation->user_guid);
//$user->karma=$model->collectiveValoration;
system_message($user->username . " @ " . $model->collectiveValoration);
}
}
}
//To show the objects first we get the list
$method_list = elgg_list_entities_from_metadata(['type' => 'object', 'subtype' => 'mcdm', 'pagination' => false]);
if (!$method_list) {
$method_list = '<p class="mtm">' . elgg_echo('hflts:evaluation:not:found') . '</p>';
$method = new ElectreHFLTS($import_file);
break;
case 'topsis':
$method = new TopsisHFLTS($import_file);
break;
case 'promethee':
$method = new PrometheeHF($import_file);
break;
case 'vikor':
$method = new VikorHFL($import_file);
break;
case 'todim':
$method = new TodimHFL($import_file);
break;
case 'classic':
$method = new AggregationHFLTS($import_file);
break;
default:
register_error("label_not_found");
break;
}
$method->case = $runcase;
if ($runcase == "imported") {
$method->setAlternatives($nAlternativas);
//num of alternatives
$method->setCriteria($nCriterios);
//num of criteria
$method->setExperts($nExpertos);
//num of experts
$method->setGranularity($G);
//granularity
