A class of single sampling inspection plans based on possibilistic programming problem

DOI10.1016/0165-0114(94)90143-0zbMath0842.62086OpenAlexW2085410385MaRDI QIDQ1915260

T. K. Chakraborty

Publication date: 14 July 1996

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0165-0114(94)90143-0

zbMATH Keywords

sensitivitynumerical examplefuzzy variablesDodge Romig single sampling planlot tolerance percent defective single sampling inspection planspossibilistic programming problem

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Applications of mathematical programming (90C90) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)

Cites Work

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• A single sampling attribute plan of given strength based on fuzzy goal programming
• Solving possibilistic linear programming problems
• Fuzzy sets and systems. Theory and applications
• A class of single sampling plans based on fuzzy optimisation
• Fuzzy sets as a basis for a theory of possibility
• The concept of a linguistic variable and its application to approximate reasoning. I
• On possibilistic linear programming
• Determination of single-sampling-attribute plans based on membership functions
• Decision-Making in a Fuzzy Environment
• Single Sampling and Double Sampling Inspection Tables
• Possibilistic linear programming with triangular fuzzy numbers

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