scholarly journals Fuzzy Similar Priority Method for Mixed Attributes

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Jinshan Ma ◽  
Changsheng Ji ◽  
Jing Sun

Fuzzy similar priority ratio method is to select the most suitable one to the specific object from feasible alternatives. However, this method considering only the index values of real number has its disadvantages of inaccuracy in result and complexity in calculation. So, this method was extended to handle mixed attributes including real number, interval number, triangular fuzzy number, and trapezoidal fuzzy number. The proposed method decides the optimal alternative by the minimum of integrated nearness degrees calculated by all index vectors and the fixed index vectors based on the theory of similarity. The improved method can not only address mixed attributes but also simplify the calculation and improve the accuracy of result. A case study illustrated this method.

2017 ◽  
Vol 13 (2) ◽  
Author(s):  
Tatiana Gondim do Amaral ◽  
Zhou Guan Chen ◽  
Vitor Hugo Martins E Resende ◽  
Marcos Antônio De Sousa

RESUMO: Levantamentos realizados apontam atrasos em obras gerando insatisfações aos clientes, motivando processos judiciais sobre as construtoras além de custos indiretos adicionais no projeto, levando a prejuízos ao mesmo. Mediante o exposto são necessárias ferramentas mais eficazes para o controle de prazo de obra. Assim, o trabalho visa aplicar e avaliar o método da corrente crítica no planejamento e controle físico de obras, calculando o pulmão do projeto utilizando duas técnicas distintas: Métodos Número Fuzzy trapezoidal (TrFN) e cinquenta por cento. Portanto, realizou-se um estudo de caso de um empreendimento mixed use em Goiânia e um acompanhamento dos serviços estruturais de uma junta, que estão presentes na corrente crítica do projeto. Assim, ao avaliar e comparar os pulmões resultantes, durações calculadas e reais do projeto, se conclui que o Método TrFN é o que mais se aproxima à duração real, pois consulta especialistas; e, mais se integra à equipe, aumentando a aplicabilidade do planejamento, pois os executores do projeto participam na elaboração do mesmo. Já o Método dos Cinquenta por Cento é mais fácil de ser calculado, com a definição mais prática do pulmão resultando um planejamento mais rápido. Baseando-se nesses cálculos, a principal contribuição do trabalho é comparar os resultados de cada técnica quanto à sua agilidade de aplicação, precisão em relação ao real e aplicabilidade em obra. ABSTRACT: Conducted surveys indicate delays in projects that impact clients, allowing lawsuits over Construction Company and overhead costs of the project, enabling the economic impracticability of it. Through the above are needed more effective tools for term control of the project. Therefore, the work objective is to implement and evaluate the method of the critical chain in the planning and physical control of the project by calculating the project buffer using two different techniques: Trapezoidal Fuzzy Number (TrFN) and Fifty percent Method. Therefore, there was a case study of a mixed use building in Goiânia and monitoring of structural services of a joint, which are present in the project critical chain. Thus, to evaluate and compare the resulting buffer, calculated duration and really happened duration, it is concluded that the TrFN method comes closest to real time as it consults experts; and more integrates the team, increasing the applicability of planning, because the project performers are involved in preparing it. Now the fifty percent method is easier to be calculated with faster definition of the buffer and planning. Based on this calculus, the main contribution of this work is to compare the results of each technique in: application agility, application accuracy, applicability during construction.


2011 ◽  
Vol 181-182 ◽  
pp. 987-992 ◽  
Author(s):  
Jian Cao ◽  
Feng Tang ◽  
Qing Xu

To solve partner selection problems under enterprise’s green operation strategy nowadays, a new fuzzy-AHP method based on the AHP and basic theory of the triangular fuzzy number was given. Moreover, the evaluation hierarchy structure and corresponding evaluation process were described. Compared with traditional AHP approach, the proposed model combines subjective analysis with quantitative analysis more reasonably, synthesizes group opinions more adequately. The method can be practiced easily and widely, mainly because of the model’s simple, normative arithmetic formulas and the consistency of triangular-fuzzy-number-based judgment matrices. The results of a case study on selecting fabric suppliers in a middle-scale clothing enterprise indicate that, by applying the method-based software system, fair and reasonable conclusions under group decision-making environment can be acquired clearly.


2012 ◽  
Vol 2012 ◽  
pp. 1-13 ◽  
Author(s):  
S. K. Barik ◽  
M. P. Biswal

We present a solution procedure for a quadratic programming problem with some probabilistic constraints where the model parameters are either triangular fuzzy number or trapezoidal fuzzy number. Randomness and fuzziness are present in some real-life situations, so it makes perfect sense to address decision making problem by using some specified random variables and fuzzy numbers. In the present paper, randomness is characterized by Weibull random variables and fuzziness is characterized by triangular and trapezoidal fuzzy number. A defuzzification method has been introduced for finding the crisp values of the fuzzy numbers using the proportional probability density function associated with the membership functions of these fuzzy numbers. An equivalent deterministic crisp model has been established in order to solve the proposed model. Finally, a numerical example is presented to illustrate the solution procedure.


2014 ◽  
Vol 31 (7) ◽  
pp. 811-821 ◽  
Author(s):  
Soroush Avakh Darestani ◽  
Azam Moradi Tadi ◽  
Somayeh Taheri ◽  
Maryam Raeiszadeh

Purpose – Shewhart's control charts are the most important statistical process control tools that play a role in inspecting and producing quality control. The purpose of this paper is to investigate the attributes of fuzzy U control chart. Design/methodology/approach – If the data were uncertain, they were converted into trapezoidal fuzzy number and the fuzzy upper and lower control limits were trapezoidal fuzzy number calculated using fuzzy mode approach. The result was grouped into four categories (in control, out of control, rather in control, rather out of control). Finally, a case study was presented and the method coding was done in MATLAB software using design U control chart; then, the results were verified. Findings – The definition of fuzzy numbers for each type of defect sensitivity and the unit can be classified into four groups: in-control and out-of-control, rather in-control and rather out-of-control which represent the actual quality of the products. It can be concluded that fuzzy control chart is more sensitive on recognition out of control patterns. Originality/value – This paper studies the use of control charts, specifically the attributes of a fuzzy U control chart, for monitoring defects in the format of a case study.


2021 ◽  
Vol 7 ◽  
pp. e453
Author(s):  
Priyanka Majumder ◽  
Valentina Emilia Balas ◽  
Arnab Paul ◽  
Dayarnab Baidya

In this work, a novel fuzzy decision making technique namely trapezoidal fuzzy Best-Worst method (fuzzy BWM) is developed which is based on Best-Worst method (BWM) and Trapezoidal fuzzy number. The real motive behind our work is to take a broad view of the existing fuzzy BWM based on triangular fuzzy number by trapezoidal fuzzy number. Also, we have presented a new hybrid MCDM technique called as Trapezoidal fuzzy Best Worst Analytic Hierarchy based on proposed trapezoidal fuzzy BWM and existing trapezoidal fuzzy Analytic Hierarchy Process (AHP). BWM approach is employed in evaluating the PV of considering criteria and trapezoidal fuzzy AHP is used to assess the local priority vale (PV) of considering alternatives (or indicators) of a decision problem. Moreover it used to identify the most significant alternative which is responsible for performance efficiency of a hydro power plant under climatic scenario. From the result, it is undoubtedly found that hydraulic had is most responsible indicator. Further, the CR (consistency ratio) value which is determined by our proposed trapezoidal fuzzy BWM is less than that of existing BWM and fuzzy BWM techniques. Finally, we have validated our result by comparative study, scenario analysis and sensitivity analysis.


2011 ◽  
Vol 2011 ◽  
pp. 1-8 ◽  
Author(s):  
Abdul Hameed Q. A. Al-Tai

The aim of this paper is to introduce and study the fuzzy neighborhood, the limit fuzzy number, the convergent fuzzy sequence, the bounded fuzzy sequence, and the Cauchy fuzzy sequence on the base which is adopted by Abdul Hameed (every real numberris replaced by a fuzzy numberr¯(either triangular fuzzy number or singleton fuzzy set (fuzzy point))). And then, we will consider that some results respect effect of the upper sequence on the convergent fuzzy sequence, the bounded fuzzy sequence, and the Cauchy fuzzy sequence.


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