Fuzzy modeling and analytic hierarchy processing to quantify risk levels associated with occupational injuries. I. The development of fuzzy-linguistic risk levels

McCauley-Bell, Pamela; Badiru, Adedeji B.

doi:10.1109/91.493906

Cited by 63 publications

(13 citation statements)

References 10 publications

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“…to be taken into account in risk assessment, highlighting their interactions in originating the accident. In the past, McCauley-Bell and Badiru (1996) have illustrated in two papers a two-phases research project to develop a fuzzy-linguistic expert system for quantifying and predicting the risk of occupational injury, specifically, cumulative trauma disorders (CTD's) of the forearm and hand.…”

Section: The Advantages Of Fuzzy Logic Approachmentioning

confidence: 99%

Fuzzy Application Procedure (FAP) for the risk assessment of occupational accidents

Murè

Demichela

2009

Journal of Loss Prevention in the Process Industries

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Section: The Advantages Of Fuzzy Logic Approachmentioning

confidence: 99%

Fuzzy Application Procedure (FAP) for the risk assessment of occupational accidents

Murè

Demichela

2009

Journal of Loss Prevention in the Process Industries

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“…The preliminary analysis breaks down the risk items along categorical lines, which help identify contributory risk factors (McCauley-Bell and Badiru 1996). For emergency response practice this analysis could be carried out as illustrated in Fig.…”

Section: Knowledge Acquisitionmentioning

confidence: 99%

An aggregative fuzzy risk analysis for flood incident management

Das

Sadiq

Tesfamariam

2011

Int J Syst Assur Eng Manag

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Mitigation of loss or damage is the prime focus in flood incident management (FIM). Emergency response program, a key element in flood incident management can fail in multiple ways; however it can be mainly attributed to failure of infrastructure and/or failure of human institutions. Characterization and quantification of various risk factors in emergency response is a difficult task because responses to floods are complex and dynamic in nature. For these reasons, high level of uncertainties are inherent in the estimation of risk associated with the emergency response and may warrant the usage of a quantitative-qualitative risk assessment framework. In this paper, a multi-stage hierarchical model is developed to estimate the aggregative risk associated with the failure of emergency response system in case of flood. Each risk item is defined by the product of the likelihood of a failure event and associated consequences. Both likelihood and the consequences of a failure event are defined using fuzzy numbers to capture vagueness in the concept of relevant risk factors. An analytic hierarchy process is used for estimating the priority matrix (weights) for grouping risk attributes. Utility of a proposed model is demonstrated through a simplified risk hierarchy representing emergency response system failure of a FIM.

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“…Metoda AHP je našla primenu u različitim oblastima osiguranja. McCaley-Bell i Badiru [7] su razvili fazi ekspertski sistem za predviđanje i kvantifikovanje rizika od povreda ekstremiteta na radnom mestu. Prva faza obuhvata razvoj i predstavljanje lingvističkih promenljivih u cilju definisanja nivoa rizika i kvantifikaciju na osnovu fazi skupova.…”

Section: Primena Ahp Metodeunclassified

Risk management in the insurance by AHP method

Gajovic¹,

Radivojevic²

2014

Tehnika

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UVODOsiguravajuće kuće su kompleksni poslovni sistemi koji svojim klijentima pružaju usluge osiguranja -nadoknade štete u slučaju realizacije neželjenih događaja. Osiguranje od različitih vrsta rizika je osnovna delatnost osiguravajućih kuća. Osiguranje se može definisati kao prenos rizika sa klijenta na osiguravajuću kuću, gde klijent plaća premiju osiguranja a osiguravajuća kuća finansijski nadoknađuje klijentu eventualnu štetu izazvanu neželjenim događajem. Kako bi osiguravajuće kuće poslovale uspešno, neophodno je da proces osiguranja obuhvata odgovarajuću analizu i ocenu rizika, što doprinosi određivanju optimalne premije koju plaća klijent, koja će biti dovoljna za adekvatnu nadoknadu u slučaju nastanka štete. Proces osiguranja zavisi od velikog broja faktora koji direktno i indirektno utiču na uspešnost poslovanja osiguravajućih kuća.Cilj ovoga rada je da prikaže jedan pristup za ocenu rizika u poslovanju osiguravajućih kuća u oblasti neživotnog osiguranja. Pristup se zasniva na primeni AHP metode (engl. Analytic Hierarchy Process) koja omogućava hijerarhijsku dekompozi iju problema. Osnovna ideja u radu je da se ukupan rizik poslovanja osiguravajućih kuća razloži na više kategorija i u okviru svake kategorije, više podkategorija rizika, kako bi se došlo do značaja i uticaja svakog pojedinačnog rizika na ukupan rizik poslovanja. Ovaj pristup je veoma pogodan u uslovima kad ne postoje reprezentativni statistički podaci o rizicima i grupama rizika u poslovanju osiguravajućih kuća. Ulazni podaci za AHP metodu su dobijeni anketiranjem većeg broja eksperata u oblasti osiguranja, iz različitih osiguravajućih kuća u Republici Srbiji.Rad obuhvata pet celina. U prvom delu rada je opisan pojam rizika u osiguranju i data je mapa rizika za osiguravajuće kuće. Drugi deo rada obuhvata osnovne elemente upravljanja rizikom u osiguranju. U trećem delu je opisana AHP metoda i mogućnost njene primene u modeliranju rizika. Četvrti deo rada obuhvata opis modela za ocenu rizika, koji se zasniva na primeni AHP metode. U petom delu rada su data zaključna razmatranja. RIZICI U OSIGURANJUU teoriji i praksi poslovnih sistema pojam rizik opisuje postojanje mogućnosti neželjenog događaja, koji može imati negativne posledice. Postoji mnogo definicija rizika koje ga opisuju u zavisnosti od pristupa, konteksta i ugla posmatranja. Borge [1] navodi da rizik "znači biti izložen verovatnoći lošeg ishoda". Rizik se može opisati kao kompleksna veličina koja obuhvata verovatnoću nastanka štetnih događaja i očekivane posledice u nekom sistemu ili procesu u toku određenog vre-

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Fuzzy modeling and analytic hierarchy processing to quantify risk levels associated with occupational injuries. I. The development of fuzzy-linguistic risk levels

Cited by 63 publications

References 10 publications

Fuzzy Application Procedure (FAP) for the risk assessment of occupational accidents

Fuzzy Application Procedure (FAP) for the risk assessment of occupational accidents

An aggregative fuzzy risk analysis for flood incident management

Risk management in the insurance by AHP method

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