Parting Direction Selection and Evaluation Using an Extension of Fuzzy MCDM Method

2012 ◽  
Vol 263-266 ◽  
pp. 3321-3325
Author(s):  
C. Lin Alan ◽  
Anh Son Tran
Keyword(s):  
Fuzzy Numbers ◽  
New Left ◽  
Evaluation Process ◽  
Injection Mold ◽  
Fuzzy Evaluation ◽  
Linguistic Terms ◽  
Injection Mold Design ◽  
Parting Direction ◽  
Left And Right ◽  
Ranking Order

Parting direction selection and evaluation plays an important role in injection mold design. In order to select suitable parting direction, several criteria need to be taken into account including undercut feature, parting line complexity, draw depth, project area, and flatness. This paper proposes an extension of fuzzy multi-criteria decision making (MCDM) approach to support parting direction selection and evaluation process. In proposed approach, the rating of alternatives and important weight of criteria are expressed linguistic terms. We then develop the membership functions for the final fuzzy evaluation values of alternatives by the interval arithmetic of fuzzy numbers. Next, this paper uses the new left and right indices ranking approach to defuzzify the normalized weighted ratings into crisp values to determine the ranking order of alternatives. Finally, a numerical example is used to illustrate the applicability and efficiency of the proposed method.

THE FUZZY EVALUATION OF THE ICT PROJECTS IN STRATEGIC ENVIRONMENT (CASE STUDY: IRAN TELECOMMUNICATION RESEARCH CENTER)

2011 ◽  
Vol 10 (05) ◽  
pp. 873-890 ◽  
Author(s):  
MEHDI FASANGHARI ◽  
MOHSEN SADEGH AMALNICK ◽  
S. KAMAL CHAHARSOOGHI ◽  
FRANZ I. S. KO
Keyword(s):  
Information And Communication Technology ◽  
Communication Technology ◽  
Fuzzy System ◽  
Fuzzy Numbers ◽  
Evaluation Process ◽  
Project Selection ◽  
Fuzzy Evaluation ◽  
Information And Communication ◽  
Selection For

Many criteria should be considered for project selection in Information and Communication Technology (ICT) sectors; while, the resources are limited. Besides, the uncertainty of the selection and evaluation process increases the difficulty of ICT project selection. Therefore, a fuzzy system in combination with fuzzy integer linear programming, fuzzy entropy, and fuzzy numbers have been developed; it smoothes the process of ICT project selection. This fuzzy system is flexible in the project selection for Iran ICT sectors, especially in (Research and Development) R&D sectors. It enhances the accuracy of the evaluation process as it resolves the uncertainty of ICT project selection.

The Optical Fiber Connector Ceramic Insert Core Injection Mold Design

2014 ◽  
Vol 624 ◽  
pp. 712-714
Author(s):  
Pei Yun Ao
Keyword(s):  
Optical Fiber ◽  
Structural Characteristics ◽  
Flow Characteristics ◽  
Powder Injection ◽  
Mold Design ◽  
Injection Mold ◽  
Additive Formulation ◽  
Injection Mold Design ◽  
Optical Fiber Connector ◽  
Ceramic Insert

According to the structural characteristics of optical fiber connector Ceramic insert core, this article analyzed the structure technology of it. Based on Mold wizard module and Pro/Moldsign module. We conducted injection mold design of optical fiber connector ceramic insert core; Put forward the flow characteristics of zirconia powder injection feeding and binder, lubricants and other additive formulation.

ANALYSIS OF FUZZY QUEUES BY USING PENTAGONAL FUZZY NUMBER

2021 ◽  
Vol 23 (04) ◽  
pp. 211-224
Author(s):  
Gurcharan Singh ◽  
◽  
Baljodh Singh ◽  
Neelam Kumari ◽  
◽  
...  
Keyword(s):  
Probability Theory ◽  
Fuzzy Set ◽  
Fuzzy Number ◽  
Queuing Theory ◽  
Fuzzy Numbers ◽  
Real Life ◽  
Linguistic Terms

This paper deals with the fact thatpentagonal fuzzy numbers are pre-owned and systematic outcomes are discussed in real-life situations. The fuzzy set supposition is combined with well-established classical queuing theory but the classical queuing theory is far away from real-life situations. In this approach, we can use both fuzzy and probability theory to make this work more realistic with the help of the α-cut technique. Symmetric pentagonal fuzzy numbers are used to elaborate on the situation of the queue in linguistic terms.

scholarly journals Models for Multiple Attribute Decision Making with Some 2-Tuple Linguistic Pythagorean Fuzzy Hamy Mean Operators

Mathematics ◽  
2018 ◽  
Vol 6 (11) ◽  
pp. 236 ◽  
Author(s):  
Xiumei Deng ◽  
Jie Wang ◽  
Guiwu Wei ◽  
Mao Lu
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Fuzzy Numbers ◽  
Special Kind ◽  
Multiple Attribute Decision Making ◽  
Linguistic Terms ◽  
Multiple Integration ◽  
Multiple Attribute ◽  
Pythagorean Fuzzy Numbers ◽  
Actual Decision

The Hamy mean (HM) operator, as a useful aggregation tool, can capture the correlation between multiple integration parameters, and the 2-tuple linguistic Pythagorean fuzzy numbers (2TLPFNs) are a special kind of Pythagorean fuzzy numbers (PFNs), which can easily describe the fuzziness in actual decision making by 2-tuple linguistic terms (2TLTs). In this paper, to consider both Hamy mean (HM) operator and 2TLPFNs, we combine the HM operator, weighted HM (WHM) operator, dual HM (DHM) operator, and dual WHM (DWHM) operator with 2TLPFNs to propose the 2-tuple linguistic Pythagorean fuzzy HM (2TLPFHM) operator, 2-tuple linguistic Pythagorean fuzzy WHM (2TLPFWHM) operator, 2-tuple linguistic Pythagorean fuzzy DHM (2TLPFDHM) operator and 2-tuple linguistic Pythagorean fuzzy DWHM (2TLPFDWHM) operator. Then some multiple attribute decision making (MADM) procedures are developed based on these operators. At last, an applicable example for green supplier selection is given.

Optimal Layout and Sizing of Ejector Pins for Injection Mold Design

1998 ◽  
Author(s):  
Seongjoon Kwak ◽  
Kunwoo Lee
Keyword(s):  
Wavelet Transform ◽  
Injection Molding ◽  
Mold Design ◽  
Injection Mold ◽  
Optimal Layout ◽  
Rule Based ◽  
Rule Based System ◽  
Molded Part ◽  
Injection Mold Design ◽  
Local Stresses

Abstract Injection molding is the most prevalent technology used for processing thermoplastic polymers. At the end of the injection molding cycle, the plastic molded part should be ejected when the injection mold opens. Complex moldings with bosses, ribs, or other features are generally ejected by ejector pins because they are economical and easy to be installed. However, the ejector pins can cause high local stresses and strains in the molding at the stage of ejection leading to the part deformation and damage. This paper proposes a method to determine the layout and size of the ejector pins required to eject thermoplastic moldings with minimizing the part deformation and damage. The proposed method calculates the distribution of the necessary ejecting forces to overcome the friction between the part and its mold. Then, it transforms the ejecting forces into a certain number of representative forces by the wavelet transform. Finally, we can get the location and size of the ejector pins corresponding to the discrete ejecting forces with the help of a rule-based system. The proposed method helps an injection mold designer to systematically obtain an optimum ejector design.

Data Envelopment Analysis with Fuzzy Parameters

2013 ◽  
pp. 94-108 ◽  
Author(s):  
Adel Hatami-Marbini ◽  
Saber Saati ◽  
Madjid Tavana
Keyword(s):  
Data Envelopment Analysis ◽  
Real Life ◽  
Evaluation Process ◽  
Data Envelopment ◽  
Value Judgments ◽  
Life Problems ◽  
Fuzzy Goal ◽  
Ranking Order ◽  
Fuzzy Dea ◽  
Fuzzy Parameters

Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of decision making units (DMUs) that use multiple inputs to produce multiple outputs. In the conventional DEA, all the data assume the form of specific numerical values. However, the observed values of the input and output data in real-life problems are sometimes imprecise or vague. Previous methods have not considered the preferences of the decision makers (DMs) in the evaluation process. This paper proposes an interactive evaluation process for measuring the relative efficiencies of a set of DMUs in fuzzy DEA with consideration of the DMs’ preferences. The authors construct a linear programming (LP) model with fuzzy parameters and calculate the fuzzy efficiency of the DMUs for different a levels. Then, the DM identifies his or her most preferred fuzzy goal for each DMU under consideration. A modified Yager index is used to develop a ranking order of the DMUs. This study allows the DMs to use their preferences or value judgments when evaluating the performance of the DMUs.

A Model of Complexity Levels of Meaning Constitution in Simulation Models of Language Evolution

2011 ◽  
Vol 1 (1) ◽  
pp. 18-38 ◽  
Author(s):  
Andy Lücking ◽  
Alexander Mehler
Keyword(s):  
Physical Properties ◽  
Language Evolution ◽  
Three Dimensional ◽  
Simulation Models ◽  
Context Dependency ◽  
Abstract Objects ◽  
Linguistic Terms ◽  
Left And Right ◽  
Linguistic Categories ◽  
Linguistic Categorization

Currently, some simulative accounts exist within dynamic or evolutionary frameworks that are concerned with the development of linguistic categories within a population of language users. Although these studies mostly emphasize that their models are abstract, the paradigm categorization domain is preferably that of colors. In this paper, the authors argue that color adjectives are special predicates in both linguistic and metaphysical terms: semantically, they are intersective predicates, metaphysically, color properties can be empirically reduced onto purely physical properties. The restriction of categorization simulations to the color paradigm systematically leads to ignoring two ubiquitous features of natural language predicates, namely relativity and context-dependency. Therefore, the models for simulation models of linguistic categories are not able to capture the formation of categories like perspective-dependent predicates ‘left’ and ‘right’, subsective predicates like ‘small’ and ‘big’, or predicates that make reference to abstract objects like ‘I prefer this kind of situation’. The authors develop a three-dimensional grid of ascending complexity that is partitioned according to the semiotic triangle. They also develop a conceptual model in the form of a decision grid by means of which the complexity level of simulation models of linguistic categorization can be assessed in linguistic terms.

Sign in / Sign up

Export Citation Format

Share Document