<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">A SI-MOHAMMED</style></author><author><style face="normal" font="default" size="100%">R SMAIL</style></author><author><style face="normal" font="default" size="100%">MCHEBILA</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Decision making under uncertainty in the alarm systems response</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Quality &amp; Reliability Management, ahead-of-print. 2020. </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://doi.org/10.1108/IJQRM-03-2019-0078 </style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;div class=&quot;intent_sub_item Abstract__block mb-3&quot;&gt;
	&lt;h3 class=&quot;intent_sub_title Abstract__block__title mb-1 mt-1&quot;&gt;
		Purpose
	&lt;/h3&gt;

	&lt;section class=&quot;intent_sub_content Abstract__block__text&quot;&gt;
		&lt;p&gt;
			The purpose of this paper is to develop an advanced decision-making support for the appropriate responding to critical alarms in the hazardous industrial facilities.
		&lt;/p&gt;
	&lt;/section&gt;
&lt;/div&gt;

&lt;div class=&quot;intent_sub_item Abstract__block mb-3&quot;&gt;
	&lt;h3 class=&quot;intent_sub_title Abstract__block__title mb-1&quot;&gt;
		Design/methodology/approach
	&lt;/h3&gt;

	&lt;section class=&quot;intent_sub_content Abstract__block__text&quot;&gt;
		&lt;p&gt;
			A fuzzy analytical hierarchy process is suggested by considering three alternatives and four criteria using triangular fuzzy numbers to handle the associated uncertainty. A logarithmic fuzzy preference programming (LFPP)-based nonlinear priority method is employed to analyze the suggested model.
		&lt;/p&gt;
	&lt;/section&gt;
&lt;/div&gt;

&lt;div class=&quot;intent_sub_item Abstract__block mb-3&quot;&gt;
	&lt;h3 class=&quot;intent_sub_title Abstract__block__title mb-1&quot;&gt;
		Findings
	&lt;/h3&gt;

	&lt;section class=&quot;intent_sub_content Abstract__block__text&quot;&gt;
		&lt;p&gt;
			A quantitative decision-making support is not only a necessity in responding to critical alarms but also easy to implement even in a relatively short reaction time. Confirmation may not be the appropriate option to deal with a critical alarm, even with the availability of the needed resources.
		&lt;/p&gt;
	&lt;/section&gt;
&lt;/div&gt;

&lt;div class=&quot;intent_sub_item Abstract__block mb-3&quot;&gt;
	&lt;h3 class=&quot;intent_sub_title Abstract__block__title mb-1&quot;&gt;
		Practical implications
	&lt;/h3&gt;

	&lt;section class=&quot;intent_sub_content Abstract__block__text&quot;&gt;
		&lt;p&gt;
			A situation related to a flammable gas alarm in a gas plant is treated using the developed model showing its practical efficiency and practicality.
		&lt;/p&gt;
	&lt;/section&gt;
&lt;/div&gt;

&lt;div class=&quot;intent_sub_item Abstract__block&quot;&gt;
	&lt;h3 class=&quot;intent_sub_title Abstract__block__title mb-1&quot;&gt;
		Originality/value
	&lt;/h3&gt;

	&lt;section class=&quot;intent_sub_content Abstract__block__text&quot;&gt;
		&lt;p&gt;
			The proposed model provides a rational, simple and holistic fuzzy multi criteria tool with a refined number of criteria and alternatives using an LFPP method
		&lt;/p&gt;
	&lt;/section&gt;
&lt;/div&gt;

&lt;section class=&quot;intent_abstract pt-2 Abstract&quot; id=&quot;abstract&quot;&gt;
	&lt;div class=&quot;intent_sub_item Abstract__block&quot;&gt;
		&lt;section class=&quot;intent_sub_content Abstract__block__text&quot;&gt;
			&lt;p&gt;
				to handle process alarms.
			&lt;/p&gt;
		&lt;/section&gt;
	&lt;/div&gt;
&lt;/section&gt;
</style></abstract></record></records></xml>