Scoring models yield continuous predictions instead of sharp classifications. Scoring customers for profitability, loyalty, or product affinity corresponds to an inductive fuzzy classification: The model represents a continuous membership function mapping the set of customers into the fuzzy set of interesting customers – the fuzzy target group. This chapter presents a method for membership func...

Multi Criteria Decision Making (MCDM) is an advanced field of Operation Research; recently MCDM methods are efficient and common tools for performance evaluation in many areas such as finance and economy. The aim of this study is to show one of applications of mathematics in real word. This study with considering value based measures and accounting based measures simultaneously, provided a hybr...

in order to survive in today's competitive world, organizations are looking to increase their efficiency and effectiveness. therefore, they should focus on inputs that are more important than the rest of the inputs in their success. this paper aimed at ranking 7ms (management, man power, marketing, material, machinery, methods and money) and their sub-criteria of production in iran. by imp...

Recently, special attention has been paid to artificial groundwater recharge in water resource management in arid and semi-arid regions. Water resources distribution in these regions is extremely uneven, both in spatial and temporal forms and groundwater is the only water resource and is a major constraint on economic and social development. Artificial groundwater recharge is considered an appr...

We study the time-dependent dynamics of a collection of N collapsing/expanding D0-branes in type IIA String Theory. We show that the fuzzy-S and S provide time-dependent solutions to the Matrix Model of D0-branes and its DBI generalisation. Some intriguing cancellations in the calculation of the non-abelian DBI Matrix actions result in the fuzzyS and S having the same dynamics at large-N . For ...

Urban problems are problems of organized complexity. Thus, many models and scientific methods to resolve urban problems are failed. This study is concerned with proposing of a fuzzy system driven approach for classification and solving urban problems. The proposed study investigated mainly the selection of the inputs and outputs of urban systems for classification of urban problems. In this res...

The purpose of this paper is to explore the ability to continually change and obtain new understanding of driving power of Expert Approach. Expert systems are able to advantageously replace human experts in various application areas with the involvement of ANN and Fuzzy Logic. Finally this hybrid system is formed to gain the outstanding performance from a expert system. The basic concept of ANN...

The Fuzzy Analytic Network Process (ANP) is generally used for solving multicriteria decision making (MCDM) problems by considering the pairwise comparison between criteria/sub-criteria, and inner/outer dependencies among criteria. Linguistic expressions are used for experts’ judgements, and these judgements are imprecise and vague. Hence, incorporating fuzziness with multi-criteria decision ma...

The COVID-19 pandemic broke out and the global logistics industry suffered severe losses; therefore, Fuzzy FMEA-AHP (Fuzzy Failure Mode Effects Analysis-Analytic Hierarchy Process) method is proposed to analyze failure reasons of system in pandemic. In this article, we have made an optimization on basis FMEA method: fuzzy integrated into algorithm, referred as F-RPWN (fuzzy risk priority-weight...

This paper describes a fuzzy hierarchical analytic approach to determine the weighting of subjective judgments. In addition, it presents a nonadditive fuzzy integral technique to evaluate a green engineering industry case as a fuzzy multicriteria decision-making (FMCDM) problem. When the investment strategies are evaluated from various aspects, such as economic effectiveness, technical feasibil...