There are numerous methods to rank sports teams. Each of these methods incorporate different components to determine a ranking system. For example, the Rating Percentage Index (RPI) method considers the weighted average of a team’s winning percentage and its opponents winning percentage [16]. The Elo method assigns each team a rating and when two teams play each other, the rankings change depen...

The notion of Intuitionistic Fuzzy Numbers (IFNs) has been improved in many decision making problems. Ranking of IFNs is one of the techniques that conceptualize IFNs to illustrate order or preference in decision making. Ranking of IFNs plays a very important role in multicriteria decision making, optimization and in many different fields but ranking of IFNs is not a very easy process. As far a...

We propose a new pointwise collaborative ranking approach for recommender systems, which focuses on improving ranking performance at the top of recommended list. Our approach is different from common pointwise methods in that we consider user ratings as ordinal rather than viewing them as real values or categorical labels. In addition, positively rated items (higher rating scores) are emphasize...

Recent evaluation results from Geographic Information Retrieval (GIR) indicate that current information retrieval methods are effective to retrieve relevant documents for geographic queries, but they have severe difficulties to generate a pertinent ranking of them. Motivated by these results in this paper we present a novel re-ranking method, which employs information obtained through a relevan...

Centroid and spread are commonly used approaches in ranking fuzzy numbers. Some experts rank fuzzy numbers using centroid or spread alone while others tend to integrate them together. Although a lot of methods for ranking fuzzy numbers that are related to both approaches have been presented, there are still limitations whereby the ranking obtained is inconsistent with human intuition. This pape...

There exist many different ranking methods for ranking efficient Decision Making Units (DMUs) in Data Envelopment Analysis (DEA). However, since each of these methods considers a certain theory for ranking, they may give different ranks. In practice, choosing a ranking method, the results of which the Decision Maker (DM) would be able to trust is an important issue. In this paper, we consider s...

We provide an overview and comparison of predictive capabilities of several methods for ranking association football teams. The main benchmark used is the official FIFA ranking for national teams. The ranking points of teams are turned into predictions that are next evaluated based on their accuracy. This enables us to determine which ranking method is more accurate. The best performing algorit...

there are several methods to ranking dmus in data envelopment analysis (dea) and candidates in voting system. this paper proposes a new two phases method based on dea’s concepts. the first phase presents an aspiration rank for each candidate and second phase propose final ranking.

In recent years, learning on manifolds has attracted much attention in the academia community. The idea that the distribution of real-life data forms a low dimensional manifold embedded in the ambient space works quite well in practice, with applications such as ranking, dimensionality reduction, semi-supervised learning and clustering. This paper focuses on ranking on manifolds. Traditional ma...

As regards of the necessity of ranking efficient units different Data Envelopment Analysis (DEA) models are introduced. Each of the existing models has advantages and deals with ranking efficient units from special aspects. But, there exist no model has all these benefits in a unified manner. The aim of this paper is to present a new ranking method which can incorporate, to a great extent, adva...