Deriving Weights of Criteria from Inconsistent Fuzzy Comparison Matrices by Using the Nearest Weighted Interval Approximation

<div class="floats-full-page floats-full-page-figure"><h2>Figure 3</h2><div class="floats-full-page-caption"><table>Trapezoidal fuzzy number and its interval approximation.</table></div><div class="floats-full-page-content"><table class="table-group" width="800px"><tr class="fig-image"><td><img alt="574710.fig.003" src="https://static-01.hindawi.com/articles/aor/volume-2012/574710/figures/574710.fig.003.jpg" /></td></tr></table></div></div>

Figure 3 | Deriving Weights of Criteria from Inconsistent Fuzzy Comparison Matrices by Using the Nearest Weighted Interval Approximation

title

Figure 3: Deriving Weights of Criteria from Inconsistent Fuzzy Comparison Matrices by Using the Nearest Weighted Interval Approximation

description

Figure 3

About this journal

<p><em>Advances in Operations Research</em> publishes original research and review articles contributing to the theory and methodology of operational research.</p>


Journal profile

Meet the editorial board

<p><em>Advances in Operations Research</em> maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.</p>


Editor spotlight

Submit your proposal

Do you think there is an emerging area of research that really needs to be highlighted? Or an existing research area that has been overlooked or would benefit from deeper investigation? Raise the profile of a research area by leading a Special Issue.

Special Issues

Author guidelines

Editorial board

Databases and indexing

Advances in Operations Research

About this Journal

Editorial Board

Peer Review Process

Publication Ethics

Abstracting and Indexing

Article Processing Charges

Journal overview

For authors

For reviewers

For editors

Published Special Issues

Propose Special Issue

About Special Issues