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In various cases of decision analysis we use two popular methods: Analytical Hierarchical Process (AHP) and Fuzzy based AHP or Fuzzy AHP. Both the methods deal with stochastic data and can determine decision result through Multi Criteria…

Artificial Intelligence · Computer Science 2021-01-05 Md. Ashek-Al-Aziz , Sagar Mahmud , Md. Azizul Islam , Jubayer Al Mahmud , Khan Md. Hasib

Suuplier selection is one of the most important functions of a purchasing department. Since by deciding the best supplier, companies can save material costs and increase competitive advantage.However this decision becomes compilcated in…

Artificial Intelligence · Computer Science 2013-11-13 Mustafa Batuhan Ayhan

The supplier selection problem is based on electing the best supplier from a group of pre-specified candidates, is identified as a Multi Criteria Decision Making (MCDM), is proportionately significant in terms of qualitative and…

Neural and Evolutionary Computing · Computer Science 2014-04-17 Tamal Ghosh , Tanmoy Chakraborty , Pranab K Dan

In this book we introduce a new procedure called \alpha-Discounting Method for Multi-Criteria Decision Making (\alpha-D MCDM), which is as an alternative and extension of Saaty Analytical Hierarchy Process (AHP). It works for any number of…

Artificial Intelligence · Computer Science 2015-10-05 Florentin Smarandache

The superiority and inferiority ranking (SIR) method is a generation of the well-known PROMETHEE method, which can be more efficient to deal with multi-criterion decision making (MCDM) problem. Intuitionistic fuzzy sets (IFSs), as an…

Artificial Intelligence · Computer Science 2011-07-07 Junyi Chai , James N. K. Liu

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

Decision-making in real applications is often affected by vagueness, incomplete information, heterogeneous data, and conflicting expert opinions. This survey reviews uncertainty-aware multi-criteria decision-making (MCDM) and organizes the…

Artificial Intelligence · Computer Science 2026-03-23 Takaaki Fujita , Florentin Smarandache

Process mining is increasingly adopted in modern organizations, producing numerous process models that, while valuable, can lead to model overload and decision-making complexity. This paper explores a multi-criteria decision-making (MCDM)…

Computers and Society · Computer Science 2025-06-12 Rob H. Bemthuis

Supplier selection is a typical multi-criteria decision making (MCDM) problem and lots of uncertain information exist inevitably. To address this issue, a new method was proposed based on interval data fusion. Our method follows the…

Artificial Intelligence · Computer Science 2017-03-07 Zichang He , Wen Jiang

How to express an expert's or a decision maker's preference for alternatives is an open issue. Consistent fuzzy preference relation (CFPR) is with big advantages to handle this problem due to it can be construed via a smaller number of…

Artificial Intelligence · Computer Science 2014-03-25 Xinyang Deng , Felix T. S. Chan , Rehan Sadiq , Sankaran Mahadevan , Yong Deng

The process of multiple criteria decision making (MCDM) is of determining the best choice among all of the probable alternatives. The problem of supplier selection on which decision maker has usually vague and imprecise knowledge is a…

Artificial Intelligence · Computer Science 2020-01-01 Rıdvan Şahin , Muhammed Yiğider

The purpose of this paper is to point to the usefulness of applying a linear mathematical formulation of fuzzy multiple criteria objective decision methods in organising business activities. In this respect fuzzy parameters of linear…

Artificial Intelligence · Computer Science 2007-05-23 Sonja Petrovic-Lazarevic , Ajith Abraham

Our aim of this paper is to develop new map matching algorithms and to improve upon previous work. We address two key approaches: Analytic Hierarchy Process (AHP) map matching and fuzzy logic map matching. AHP is a decision-making method…

Computational Geometry · Computer Science 2024-02-20 Jeremy J. Lin , Tomoro Mochida , Riley C. W. O'Neill , Atsuro Yoshida , Masashi Yamazaki , Akinobu Sasada

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

This paper introduces Bayesian frameworks for tackling various aspects of multi-criteria decision-making (MCDM) problems, leveraging a probabilistic interpretation of MCDM methods and challenges. By harnessing the flexibility of Bayesian…

Artificial Intelligence · Computer Science 2025-08-08 Majid Mohammadi

Multiple-Criteria Decision Making (MCDM) is a sub-discipline of Operations Research that helps decision-makers in choosing, ranking, or sorting alternatives based on conflicting criteria. Over time, its application has been expanded into…

Cryptography and Security · Computer Science 2025-11-13 Luis Del Vasto-Terrientes

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

Supplier selection problem has gained extensive attention in the prior studies. However, research based on Fuzzy Multi-Attribute Decision Making (F-MADM) approach in ranking resilient suppliers in logistic 4 is still in its infancy.…

Artificial Intelligence · Computer Science 2019-07-16 Md Mahmudul Hassan , Dizuo Jiang , A. M. M. Sharif Ullah , Md. Noor-E-Alam

One of the most widespread multi-criteria decision-making methods is the Analytic Hierarchy Process (AHP). AHP successfully combines the pairwise comparisons method and the hierarchical approach. It allows the decision-maker to set…

Artificial Intelligence · Computer Science 2022-05-24 Anna Kędzior , Konrad Kułakowski

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
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