Acceptance Sampling Plans by Variables for Vague Data

Przemysław Grzegorzewski

6 citations0/0 files storedAdvances in intelligent and soft computing

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Advanced Statistical Process Monitoring Optimal Experimental Design Methods Survey Sampling and Estimation Techniques

Abstract

All classical sampling plans were constructed for exact data. However, sometimes we are not able to obtain such data but we deal with imprecise or even linguistic data. Therefore, a method for designing acceptance sampling plans by variables for vague data is considered.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 6 citations exist upstream.

References

1992Introduction to Statistical Quality Control 1985CHAPMAN AND HALL 1983Acceptance Sampling in Quality Control.1990A design for single sampling attribute plan based on fuzzy sets theory 1995Statistical Methods of Quality Assurance.1988Determination of single-sampling-attribute plans based on membership functions 1983Acceptance Sampling in Quality Control 1991A Fuzzy Design of Sampling Inspection Plans by Attributes

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.