Computing with Words in Risk Assessment

Li, Jun; Martínez, Luis; Wang, Hui; Rodriquez, Rosa M.; Novozhilov, V. V.

doi:10.2991/ijcis.2010.3.4.2

Cited by 13 publications

(6 citation statements)

References 225 publications

(208 reference statements)

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“…As the assembly works out, a separate heading for risk familiar proof process strength is not good because the information and sequence are forced [9]. In China's PPP ventures, almost all key risk items are at a national or production intensity rank, linked to monetary, subsequent, and legal circumstances [10].…”

Section: Introductionmentioning

confidence: 99%

Aspiration of Public-Private Partnership Projects’ Risk Management Supported on Probabilistic Linguistic Terms amid Weakened Hedges

Sun

Ahmad

et al. 2021

Mathematical Problems in Engineering

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The provision of risk involved in a deal for a public-private partnership (PPP) is an essential aspect of triumph that should be based on the best smart party’s opinion to organize it. This study anticipated the importance of risk management in PPP projects to adjust the risk management dilemma of the PPP projects’ pedestal on the P-LTWHs with a new notion of FMEA. The dynamic linguistic expressions, P-LTWHs, were suggested in the theoretical aspect to articulate decision-makers’ assessments, who take the reluctant information with weakened hedges and the likelihood of the linguistic information into account. Besides, the biprojection technique was used to rank risk management problem failure modes in a PPP project. The probabilistic linguistic terms with compromised hedges evaluate the risk management of the novel failure mode and impact analysis (NFMEA) and rank failure modes with the biprojection technique (P-LTWHs). This study also shows that it is possible to spread risks based on fuzzy set theory among public-private parties effectively. Likewise, with the biprojection practice of LTWHs with the VIKOR technique of P-LTWHs, the predicted model is estimated.

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Section: Introductionmentioning

confidence: 99%

Aspiration of Public-Private Partnership Projects’ Risk Management Supported on Probabilistic Linguistic Terms amid Weakened Hedges

Sun

Ahmad

et al. 2021

Mathematical Problems in Engineering

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“…11 Additionally, there currently is no general approach to construct reasonable membership functions. 43 However, many researchers have used the fuzzy set theory for risk analysis, and the former studies have shown that the fuzzy approaches are effective methods in risk assessment.…”

Section: Discussionmentioning

confidence: 99%

“…Risk is a measure of injury or loss related to human activity. 43 Many workers are at risk of harm from work for a variety of reasons. Workplace accidents increase the costs of social healthcare and insurance systems.…”

Section: Risk Analysis and Assessment Methodsmentioning

confidence: 99%

Occupational Health and Safety Within the Scope of Risk Analysis with Fuzzy Proportional Risk Assessment Technique (Fuzzy Prat)

Supçiller

Abali

2015

Quality & Reliability Eng

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The increase in industrialization necessitates risk analysis with a legal obligation all over the world. Therefore, risk analysis is very important for the safety culture of a company. Many qualitative and quantitative risk analysis methods contain subjective elements and uncertainty. In this study, risk analysis with the fuzzy proportional risk assessment technique (PRAT) is proposed for the first time to overcome the drawbacks of the conventional PRAT method. Three parameters, probability, frequency, and severity, are fuzzified by using appropriate membership functions. If‐then rules and fuzzy logic operations are defined, and then, an inference is made to determine the riskiness. After defuzzification, the risk score is determined for each defined event. The results of conventional PRAT and fuzzy PRAT are compared in a case study carried out in a textile company that manufactures towels and bathrobes. Risk analysis based on fuzzy operations provides more precise measurements than the conventional risk analysis method employed by PRAT. Fuzzy PRAT provides more detailed risk analysis results, allows a direct interpretation of the risks with clusters of clear intervals, and produces a more realistic dataset than conventional PRAT. Copyright © 2015 John Wiley & Sons, Ltd.

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“…In fields such as: situation awareness, information retrieval [5], risk assessment [6,7,8], engineering evaluation [9], decision making [10,11,12,13], sensory evaluation [14,15], data mining [16], and social choice [2], human interact with natural language (e.g. words).…”

Section: B Cww = Fuzzy Logicmentioning

confidence: 99%

CWW: The encoding part

Cherif

Baklouti

Alimi

2014

2014 6th International Conference of Soft Computing and Pattern Recognition (SoCPaR)

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Human interact with natural language. Words are uncertain, vague and imprecise. Besides, words mean different things to different people. So, the use of numerical model to represent words is a difficult task. In this paper, we propose to give a new review of the most used computing with words methods especially encoding ones. Many approaches were used for computing with words. Some of these methods convert words into a representation using fuzzy logic like the person MF approach, the interval endpoint approach, the interval approach and the enhanced interval approach. These methods were used in the encoding part of computing with words (encoding: how to transform a word into a fuzzy set)

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Computing with Words in Risk Assessment

Cited by 13 publications

References 225 publications

Aspiration of Public-Private Partnership Projects’ Risk Management Supported on Probabilistic Linguistic Terms amid Weakened Hedges

Aspiration of Public-Private Partnership Projects’ Risk Management Supported on Probabilistic Linguistic Terms amid Weakened Hedges

Occupational Health and Safety Within the Scope of Risk Analysis with Fuzzy Proportional Risk Assessment Technique (Fuzzy Prat)

CWW: The encoding part

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