The purpose of this paper is to extend a new balancing and ranking method to handle uncertainty for a multiple attribute analysis under a hesitant fuzzy environment. The presented hesitant fuzzy balancing and ranking (HF-BR) method does not require attributes’ weights through the process of multiple attribute decision making (MADM) under hesitant conditions. For the rating of possible alternati...

Hesitant Fuzzy Set (HFS) permits the membership function having a collection of probable values which are more effective for modelling real-life problems. Multiple Attribute Decision Making (MADM) process apparently assesses multiple conflicting attribute in decision making. In traditional making problems, each player is moving independently whereas reality it seen that aims to maximize persona...

the purpose followed in this study was to utilize the modern model method of spatial multi-attribute decision making (madm) to provide a comprehensive model for priority classification of vulnerable to drought area in the basin of gavkhouni. the main preference of this method over other methods is that in addition to making use of the geographical data the judgment of decision makers is also ma...

Faced with the vision that Malaysia will become a developing country by 2020, Malaysian government is promoting Gross Domestic Product (GDP) growth to be enhanced, while increasing number of entrepreneurs in different sectors. Increasing women one government's current initiatives realizing being well-developed competitive economy, sustainable revenue, and stable social structure as multiracial ...

Multiple Attribute Decision Making (MADM) involves "making preference decisions (such as evaluation, prioritization, selection) over the available alternatives that are characterized by multiple, usually conflicting, attributes". The problems of MADM are diverse, and can be found in virtually any topic. In this paper, we use three different scoring methods for evaluating the performance of diff...

Aggregation operators perform a valuable and significant role in various decision-making processes. Averaging geometric aggregation are both used for capturing the interrelationships of aggregated preferences, even if preferences independent. The purpose this paper is to analyze theory complex linguistic fuzzy (CLF) sets their important laws, such as algebraic score values, accuracy describe re...

Vendor management systems (VMSs) are web-based software packages that can be used to manage businesses. The performance of the VMSs assessed using multi-attribute decision-making (MADM) techniques under uncertain situations. This article aims analyze and assess MADM techniques, especially when uncertainty is complex nature. To achieve goals, we aim explore Hany mean (HM) operators in environmen...

In recent years stock exchange has become one of the most attractive and growing businesses in respect of investment and profitability. But applying a scientific approach in this field is really troublesome because of variety and complexity of decision making factors in the field. This paper tries to deliver a new solution for portfolio selection based on multi criteria decision making literatu...

In wireless heterogenous networks, mobile terminals are covered by different networks with varying quality of services to ensure the delivery classes services. this paper, Particle swarm optimization (PSO) was applied distance ideal alternative (DIA) technique in framework network selection a network. The PSO overcome subjectivity and bias weights’ assignment process used multiple attribute dec...

Abstract The task of benchmarking smart e-tourism applications based on multiple key concept attributes is considered a multi-attribute decision-making (MADM) problem. Although the literature review has evaluated and benchmarked these applications, data ambiguity vagueness continue to be unresolved issues. robustness fuzzy decision by opinion score method (FDOSM) weighted with zero inconsistenc...