Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
89 tokens/sec
Gemini 2.5 Pro Premium
50 tokens/sec
GPT-5 Medium
29 tokens/sec
GPT-5 High Premium
28 tokens/sec
GPT-4o
90 tokens/sec
DeepSeek R1 via Azure Premium
55 tokens/sec
GPT OSS 120B via Groq Premium
468 tokens/sec
Kimi K2 via Groq Premium
207 tokens/sec
2000 character limit reached

The complete set of efficient vectors for a reciprocal matrix (2305.05307v2)

Published 9 May 2023 in math.CO

Abstract: Efficient vectors are the natural set from which to choose a cardinal ranking vector for a pairwise comparison matrix. Such vectors are the key to certain business project selection models. Many ways to construct specific efficient vectors have been proposed. Yet, no previous method to produce all efficient vectors was known. Here, using some graph theoretic ideas, as well as a numerical extension technique, we show how to generate inductively all efficient vectors for any given pairwise comparison matrix. We apply this method to give a matricial proof of the fact that the set of efficient vectors and other related sets are piecewise linearly connected. In addition, we determine explicitly all efficient vectors for a 4-by-4 pairwise comparison matrix. Several examples are provided.

Citations (4)

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.

X Twitter Logo Streamline Icon: https://streamlinehq.com

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube