Search results for " Fuzzy"

showing 9 items of 209 documents

GRANULAR-INFORMATION-BASED RISK ANALYSIS IN UNCERTAIN SITUATIONS

2006

In the real life almost all of the decisions that we have to make incorporate uncertainty about the future events. Assessment of the uncertainty and, thus, the risk that is inherent in these decisions models can be critical. It is even truer if we are talking about the possibility of negative impact on the environment. It is very important to assess all the environmental risks in a project if there is any hazard to the environment. In this paper the possibility of using granular information is considered. The main advantage of the granular information is that it can be used to assess risks in situations when information about future events is incomplete and imprecise. Moreover, we can use n…

risk analysis; fuzzy logic; f-granules; reasoning under uncertainty; entropyRisk analysis (engineering)Probabilistic logicEntropy (information theory)Fuzzy logicNatural languageMathematicsEnvironment. Technology. Resources. Proceedings of the International Scientific and Practical Conference
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FMECA Application in Tomotherapy: Comparison between Classic and Fuzzy Methodologies

2022

Accident analysis in radiotherapy highlighted the need to increase quality assurance (QA) programs by the identification of failures/errors with very low probability (rare event) but very severe consequences. In this field, a Failure Mode, Effects and Criticality Analysis (FMECA) technique, used in various industrial processes to rank critical events, has been met with much interest. The literature describes different FMECA methods; however, it is necessary to understand if these tools are incisive and effective in the healthcare sector. In this work, comparisons of FMECA methodologies in the risk assessment of patients undergoing treatments performed with helical tomotherapy are reported. …

risk assessment; FMEA; FMECA; radiotherapy; health physics; fuzzy risk priority numberRenewable Energy Sustainability and the Environmentfuzzy risk priority numberEcology Evolution Behavior and SystematicsFMEAradiotherapySettore ING-IND/19 - Impianti NucleariGeneral Environmental ScienceRisk assessmentFMECAhealth physics
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Assessing the profitability of investment projects using ordered fuzzy numbers

2019

Wstęp: U podstaw rozważań leży stwierdzenie, że większość podejść do budżetowania kapitałowego ma charakter deterministyczny. W rzeczywistości problemowi budżetowania towarzyszy niepewność i ryzyko związane z przetwarzaniem nieprecyzyjnych danych. Uwzględnienie tej niepewności nie tylko pomaga lepiej zmierzyć efektywność projektów inwestycyjnych, ale także rozszerzyć zastosowanie metod budżetowania kapitałowego w warunkach rzeczywistych lub niepewnych. Głównym celem artykułu jest opracowanie nowatorskiego podejścia do oceny opłacalności projektu inwestycyjnego w warunkach niepewności. Metody: Prezentujemy nowatorskie podejście uwzględniające niepewność w ocenie opłacalności projektów inwest…

skierowana liczba rozmytaordered fuzzy numberprojectfuzzy numberprojekt inwestycyjnyinvestment projectprojektcapital budgetingNPV; liczba rozmytabudżetowanie kapitałoweNPVLogForum
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Podejście do analizy zaangażowania interesariuszy w projekcie wykorzystujące skierowane liczby rozmyte

2016

Celem artykułu jest przedstawienie autorskiego podejścia do zagadnienia szacowania zaangażowania interesariuszy w projekcie. W pracy zaprezentowano możliwości zastosowania aparatu matematycznego w postaci skierowanych liczb rozmytych do opisu parametrów oceny ich dynamiki zmian w cyklu życia projektu.

skierowana liczba rozmytaordered fuzzy numberzaangażowanieprojectinteresariuszfuzzy numberprojektstakeholderliczba rozmytaengagementZeszyty Naukowe Politechniki Śląskiej. Organizacja i Zarządzanie
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Fuzzy economic spaces

1980

Traditional spatial economic analysis is limited to the description of precise spaces. To say that an economic space is precise means: (1) that this space has, or else, has not given constituent characteristics and (2) that the agents located there prefer, or else, do not prefer one possible action to another. Proposition (1) implies that an economic space is perfectly delimited and that it can be clearly partitioned into homogeneous subspaces. Proposition (2) implies that economic agents undertake exact economic calculations and optimize, under rigid constraints of resource limitation, objective functions whose arguments are clearly defined. Thus, traditional spatial economic analysis is b…

spatial analysis economic analysis fuzzy[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO]Humanities and Social Sciences/Economics and Finance[SHS.ECO] Humanities and Social Sciences/Economics and Finance
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Axiology of the historial city and the cap rate. The case of the old town of Ragusa Superiore

2017

Il contributo affronta il tema del ruolo che il mercato immobiliare assume nei processi di valorizzazione dei tessuti urbani storici nella logica dell’approccio al valor capitale. L’articolazione, eterogeneità e multi-contestualità del patrimonio immobiliare della città storica, la molteplicità delle relazioni tra valori e prezzo, la complessa dialettica fondo/flusso, l’eterogeneità dei profili dei soggetti economici che interagiscono nel mercato, danno vita ad un assortimento di approcci all’investimento immobiliare che in questo contributo, attraverso l’analisi del saggio di capitalizzazione si intendono rappresentare. La convergenza tra valori di contesto e potenzialità inespresse da una…

tessuti urbani storici mercato immobiliare teoria del capitale procedimento analitico saggio di capitalizzazioneSettore ICAR/22 - Estimohistorial urban fabrics real estate market theory of the capital income approach fuzzy cluster analysis capitalization rate
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Type-2 intuitionistic fuzzy TODIM for intelligent decision-making under uncertainty and hesitancy

2022

AbstractThe classical TODIM considers the crisp numbers to handle the information. However, in a real-world applicative context, this information is bounded by noise and vagueness and hence uncertain. There are wide range of works in the literature which utilizes fuzzy sets to handle the uncertainty in the various dimensions. However, there is a constraint of hesitancy in such decision-making problems due to the involvement of various decision-makers. Also, in the TODIM method, decision-maker’s bounded rationality and psychological behavior are also taken into consideration which adds up the hesitation and considers the problem with higher dimension of uncertainty. There are various applica…

type-2 fuzzy setsintelligent decision-makingintuitionistic fuzzy setoptimointimulti-criteria decision makingTODIMpäätöksentukijärjestelmätGeometry and Topologysumea logiikkamonitavoiteoptimointiSoftwareTheoretical Computer ScienceSoft Computing
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Ordered fuzzy rules generation based on incremental dataset

2021

This paper proposes a novel approach for building transparent knowledge-based systems by generating interpretable fuzzy rules that allow for present dependences between quantitative variables by accounting for uncertainty and the dynamics of their values. In the approach, IF-THEN rules are used to show the conditional relationship between the ordered fuzzy numbers, which contain additional information about the tendencies of variables' value changes. This paper elaborates an approach of mining ordered fuzzy rules from numerical data included in an incremental database. This approach develops the ability to record uncertainty and its change in the context of rapidly changing data. In additio…

uncertainty modelingfuzzy setBasis (linear algebra)Computer scienceInferenceValue (computer science)Context (language use)computer.software_genreFuzzy logicordered fuzzy numberKnowledge-based systemsmachine learningordered fuzzy rulesFuzzy numberProduction (economics)Data miningrules generationcomputer2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
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On Some Vagaries of Vagueness and Information

2002

The presence of vagueness in scientific theories (in particular, to those related to and connected with the management of information) is briefly analyzed. We consider, firstly, the problem whether vague predicates can be adequately represented by existing formal theories. A negative answer to this question produces, as a by-product, the suggestion that a good semantics for fuzzy sets can be offered by the notion of “distance from idealized items”. Secondly, some questions connected with the adequacy of “theories of information” to the multifaceted informal notion of “information” suggest to afford this problem within an enlarged dynamical setting

vagueness fuzziness information semantics of fuzzy sets ontology of vague predicates
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