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Related papers: Multiple-criteria Heuristic Rating Estimation

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Heuristic Rating Estimation (HRE) is a newly proposed method supporting decisions analysis based on the use of pairwise comparisons. It allows that the ranking values of some alternatives (herein referred to as concepts) are initially…

Discrete Mathematics · Computer Science 2015-09-25 Konrad Kułakowski , Katarzyna Grobler-Dębska , Jarosław Wąs

The Heuristic Ratio Estimation (HRE) approach proposes a new way of using the pairwise comparisons matrix. It allows the assumption that the weights of some alternatives (herein referred to as concepts) are known and fixed, hence the weight…

Discrete Mathematics · Computer Science 2015-09-25 Konrad Kułakowski

Pairwise comparisons are a well-known method for modelling of the subjective preferences of a decision maker. A popular implementation of the method is based on solving an eigenvalue problem for M - the matrix of pairwise comparisons. This…

Discrete Mathematics · Computer Science 2015-09-25 Konrad Kułakowski

A series of papers has introduced the Heuristic Rating Estimation method, which evaluates a set of alternatives based on pairwise comparisons and the weights of reference alternatives. We formulate the conditions under which the HRE method…

Artificial Intelligence · Computer Science 2026-05-12 Jacek Szybowski , Konrad Kułakowski , Jiri Mazurek

Multi-criteria decision support systems are used in various fields of human activities. In every alternative multi-criteria decision making problem can be represented by a set of properties or constraints. The properties can be qualitative…

Software Engineering · Computer Science 2011-05-03 Tuli Bakshi , Bijan Sarkar

The Analytic Hierarchy Process (AHP) is widely used for decision making involving multiple criteria. Elsner and van den Driessche introduced a max-algebraic approach to the single criterion AHP. We extend this to the multi-criteria AHP, by…

Rings and Algebras · Mathematics 2019-03-26 Buket Benek Gursoy , Oliver Mason , Sergei Sergeev

Recommender systems are able to estimate the user's interest for resource given from some relative information to others similar users and to propriety of the resource. In this Memory, we introduced a new contextual recommendation approach…

Information Retrieval · Computer Science 2018-10-25 Halima Nefzi

Effort Estimation has always been a challenging task for the Project managers. Many researchers have tried to help them by creating different types of models. This has been already proved that none is successful for all types of projects…

Software Engineering · Computer Science 2013-10-22 Sumeet Kaur Sehra , Dr. Yadwinder Singh Brar , Dr. Navdeep Kaur

Multi-criteria recommender systems can improve the quality of recommendations by considering user preferences on multiple criteria. One promising approach proposed recently is multi-criteria ranking, which uses Pareto ranking to assign a…

Information Retrieval · Computer Science 2023-06-21 Yong Zheng , David Xuejun Wang

The AHP/ANP are multicriteria decision-making theories that deal with both hierarchic structures when the criteria are independent of the alternatives and with networks when there is any dependence within and between elements of the…

Discrete Mathematics · Computer Science 2016-06-23 Thomas Saaty , Konrad Kułakowski

The Analytic Hierarchy Process (AHP) is a much discussed method in ranking business alternatives based on empirical and judgemental information. We focus here upon the key component of deducing efficient vectors for a reciprocal matrix of…

Optimization and Control · Mathematics 2024-04-23 Susana Furtado , Charles Johnson

In real-life decision-making problems, determining the influences of the factors on the decision attribute is one of the primary tasks. To affect the decision attribute most, finding a proper hierarchy among the factors and determining…

Artificial Intelligence · Computer Science 2024-02-06 Suvojit Dhara , Adrijit Goswami

Metaheuristic algorithms are essential for solving complex optimization problems in different fields. However, the difficulty in comparing and rating these algorithms remains due to the wide range of performance metrics and problem…

Neural and Evolutionary Computing · Computer Science 2024-11-28 Evgenia-Maria K. Goula , Dimitris G. Sotiropoulos

The paper deals with a step-wise analytic hierarchy process (AHP) applied by a group of decision makers wherein nobody has a dominant position and it is unlikely to come to terms with respect to either the weights of different objectives or…

Multiagent Systems · Computer Science 2016-05-10 Marian Dragoi , Ciprian Palaghianu

The social life of students at university has an impact on their educational success. The allocation of accommodation is part of this aspect. This article presents our proposal to improve students' allocation accommodation. We aim to…

Computers and Society · Computer Science 2024-02-06 Rôlin Gabriel Rasoanaivo , Pascale Zaraté

We introduce a method for explaining the results of various linear and hierarchical multi-criteria decision-making (MCDM) techniques such as WSM and AHP. The two key ideas are (A) to maintain a fine-grained representation of the values…

Artificial Intelligence · Computer Science 2022-09-13 Martin Erwig , Prashant Kumar

An overview of current debates and contemporary research devoted to the modeling of decision making processes and their facilitation directs attention to the Analytic Hierarchy Process (AHP). At the core of the AHP are various…

Artificial Intelligence · Computer Science 2020-06-05 Paul Thaddeus Kazibudzki

Cyber Ranges (CRs) have emerged as prominent platforms for cybersecurity training and education, especially for Critical Infrastructure (CI) sectors that face rising cyber threats. One way to address these threats is through hands-on…

Cryptography and Security · Computer Science 2025-12-12 Vyron Kampourakis , Georgios Kavallieratos , Georgios Spathoulas , Vasileios Gkioulos , Sokratis Katsikas

We propose a development of the Analytic Hierarchy Process (AHP) permitting to use the methodology also in cases of decision problems with a very large number of alternatives evaluated with respect to several criteria. While the application…

Artificial Intelligence · Computer Science 2017-04-27 Francesca Abastante , Salvatore Corrente , Salvatore Greco , Alessio Ishizaka , Isabella Lami

Discovering relevant patterns for a particular user remains a challenging tasks in data mining. Several approaches have been proposed to learn user-specific pattern ranking functions. These approaches generalize well, but at the expense of…

Artificial Intelligence · Computer Science 2022-03-08 Nassim Belmecheri , Noureddine Aribi , Nadjib Lazaar , Yahia Lebbah , Samir Loudni
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