<?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%">Simohammed, Antar</style></author><author><style face="normal" font="default" size="100%">Smail, Rachid</style></author><author><style face="normal" font="default" size="100%">Chebila, Mourad</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</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%">https://www.emerald.com/insight/content/doi/10.1108/IJQRM-03-2019-0078/full/html</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">37</style></volume><pages><style face="normal" font="default" size="100%">1151-1161</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;h3 style=&quot;text-align: justify;&quot;&gt;
	Purpose
&lt;/h3&gt;

&lt;section&gt;
	&lt;p style=&quot;text-align: justify;&quot;&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;h3 style=&quot;text-align: justify;&quot;&gt;
	Design/methodology/approach
&lt;/h3&gt;

&lt;section&gt;
	&lt;p style=&quot;text-align: justify;&quot;&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;h3 style=&quot;text-align: justify;&quot;&gt;
	Findings
&lt;/h3&gt;

&lt;section&gt;
	&lt;p style=&quot;text-align: justify;&quot;&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;h3 style=&quot;text-align: justify;&quot;&gt;
	Practical implications
&lt;/h3&gt;

&lt;section&gt;
	&lt;p style=&quot;text-align: justify;&quot;&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;h3 style=&quot;text-align: justify;&quot;&gt;
	Originality/value
&lt;/h3&gt;

&lt;section&gt;
	&lt;p style=&quot;text-align: justify;&quot;&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 to handle process alarms.
	&lt;/p&gt;
&lt;/section&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">8</style></issue></record></records></xml>