Intelligent Fuzzy Pythagorean Bayesian Decision Making of Maintenance Strategy Selection in Offshore Sectors

2021 ◽  
pp. 598-604
Author(s):  
Mohammad Yazdi ◽  
Noorbakhsh Amiri Golilarz ◽  
Arman Nedjati ◽  
Kehinde A. Adesina
Keyword(s):  
Decision Making ◽  
Strategy Selection ◽  
Maintenance Strategy ◽  
Bayesian Decision ◽  
Bayesian Decision Making

LPCD framework: Analytical tool or psychological model?

2018 ◽  
Vol 41 ◽  
Author(s):  
David Danks
Keyword(s):  
Decision Making ◽  
Analytical Tool ◽  
Mathematical Framework ◽  
Bayesian Decision ◽  
Perceptual Decision Making ◽  
Psychological Model ◽  
Psychological Reality ◽  
Psychological Theories ◽  
Target Article ◽  
Bayesian Decision Making

AbstractThe target article uses a mathematical framework derived from Bayesian decision making to demonstrate suboptimal decision making but then attributes psychological reality to the framework components. Rahnev & Denison's (R&D) positive proposal thus risks ignoring plausible psychological theories that could implement complex perceptual decision making. We must be careful not to slide from success with an analytical tool to the reality of the tool components.

Bayesian Decision-Making Based Recommendation Trust Revision Model in Ad Hoc Networks

2009 ◽  
Vol 20 (9) ◽  
pp. 2574-2586 ◽  
Author(s):  
Yu-Xing SUN ◽  
Song-Hua HUANG ◽  
Li-Jun CHEN ◽  
Li XIE
Keyword(s):  
Decision Making ◽  
Ad Hoc Networks ◽  
Ad Hoc ◽  
Bayesian Decision ◽  
Hoc Networks ◽  
Bayesian Decision Making

Mate-Choice Copying as Bayesian Decision Making

2005 ◽  
Vol 165 (3) ◽  
pp. 403
Author(s):  
Uehara ◽  
Yokomizo ◽  
Iwasa
Keyword(s):  
Decision Making ◽  
Mate Choice ◽  
Bayesian Decision ◽  
Mate Choice Copying ◽  
Bayesian Decision Making

scholarly journals Quantum Bayesian Decision-Making

2021 ◽  
Author(s):  
Michael de Oliveira ◽  
Luis Soares Barbosa
Keyword(s):  
Decision Making ◽  
Bayesian Decision ◽  
Bayesian Decision Making

scholarly journals A sensitivity analysis procedure for Bayesian decision-making

2009 ◽  
Vol 1 (1/2) ◽  
pp. 23
Author(s):  
Faizul Huq ◽  
Clarence 'Red' Martin ◽  
Ken Cutright ◽  
Trevor S. Hale
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Analysis Procedure ◽  
Bayesian Decision ◽  
Bayesian Decision Making

scholarly journals MAINTENANCE STRATEGY SELECTION USING AHP AND COPRAS UNDER FUZZY ENVIRONMENT / PRIEŽIŪROS STRATEGIJOS PARINKIMAS TAIKANT AHP IR COPRAS METODUS NEAPIBRĖŽTOSE SITUACIJOSE

2012 ◽  
Vol 16 (1) ◽  
pp. 85-104 ◽  
Author(s):  
Mohammad Majid Fouladgar ◽  
Abdolreza Yazdani-Chamzini ◽  
Ali Lashgari ◽  
Edmundas Kazimieras Zavadskas ◽  
Zenonas Turskis
Keyword(s):  
Decision Making ◽  
Asset Management ◽  
Fuzzy Theory ◽  
Fuzzy Ahp ◽  
Evaluation Criteria ◽  
Equipment Management ◽  
Strategy Selection ◽  
Maintenance Strategy ◽  
Heavy Equipment ◽  
Physical Assets

Asset management, as a systematic process of operating, maintaining, and upgrading physical assets, is an important element of decision-making in heavy equipment management and operation. Maintenance strategy selection plays a significant role in mining design. However, the nature of maintenance strategy selection is a complex multi-criteria decision making (MCDM) problem including both tangible and intangible parameters which are often in conflicting with each other. As well as when decision makers are uncertain in determining and defining the ratings and the weights of alternatives and criteria respectively, fuzzy theory provides an appropriate tool to handle the existing uncertainties. In this paper, a new fuzzy MCDM method based on the concepts of COPRAS (COmplex PRoportional ASsessment) and AHP (Analytical Hierarchy Process) was proposed to evaluate the feasible maintenance strategy. The linguistic terms are employed to assess the ratings and weights. Fuzzy AHP is utilized to calculate the weights of the evaluation criteria; then, the rankings of alternatives are computed based on fuzzy sets theory and COPRAS. A real world case study is presented to illustrate a potential application of the proposed model. Santrauka Turto valdymas, kaip sistemingas veiklos procesas materialiajam turtui palaikyti ir atnaujinti, yra svarbus sprendimų priėmimo sandas, reikalingas sunkiajai įrangai valdyti ir naudoti. Pasirinkti priežiūros strategiją yra ypač svarbu projektuojant kasybą. Tačiau techninės priežiūros strategijos parinkimo pobūdis yra sudėtingas daugiatikslio sprendimų priėmimo (MCDM) uždavinys, apimantis tiek materialius, tiek nematerialius aspektus, tarpusavyje dažnai prieštaraujančius. Kai sprendimų priėmėjui kyla neaiškumų nustatant ir apibrėžiant rodiklių vertes ir svorius, neraiškiųjų aibių teorija yra tinkama priemonė esamam neapibrėžtumui aprašyti. Straipsnyje pateikiamas naujas neraiškusis MCDM būdas, pagrįstas COPRAS (kompleksinio proporcingo projektų įvertinimo) ir AHP (analitinio hierarchijų proceso) metodais, tikslingoms nekilnojamojo turto palaikymo strategijoms įvertinti. Rodiklių vertės ir svoriai yra apibrėžti lingvistinėmis sąvokomis. Neraiškusis AHP taikomas vertinimo rodiklių svoriams apskaičiuoti. Paskui alternatyvų rangai nustatyti taikant neraiškiųjų aibių teoriją ir COPRAS metodą. Naujai pasiūlytas modelis pritaikytas realiam uždaviniui spręsti.

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