Multiple attribute decision making is an important part of modern decision science. It has been extensively applied to various problems. There are several methods for this decision making problem. Based on TOPSIS method and Gray relational analysis method, this paper presents a combined approach to the multi­attribute group decision making. Finally, an...

The time that containerships or transportation trucks spend in marine container terminals for loading and unloading their cargo is a real cost scenario which affects, not only the smooth operation of ports, but also affect the overall cost of container trade. The operators of shipping lines and container terminals are required to realize the importance of this issue and the costs associated wit...

Although crisp data are fundamentally indispensable in the conventional linear programming technique for multidimensional analysis of preference (LINMAP), the observed values in the real-world problems are often imprecise or vague. These imprecise or vague data can be suitably characterized by linguistic terms which are fuzzy in nature. LINMAP has been widely used to solve multi-attribute decis...

In multiple attribute decision making (MADM) problem, a decision maker (DM) has to choose the best alternative that satisfies the evaluation criteria among a set of candidate solutions. It is generally hard to find an alternative that meets all the criteria simultaneously, so a good compromise solution is preferred. The VIKOR method was developed for multi-criteria optimization of complex syste...

In this paper we present a Quantified SWOT (Strengths, Weaknesses, Opportunities and Threats) analytical method which provides more detailed and quantified data for SWOT analysis. The Quantified SWOT analytical method adopts the concept of Multiple-Attribute Decision Making (MADM), which uses a multi-layer scheme to simplify complicated problems, and thus is able to perform SWOT analysis on sev...

Efficient selection of bids and product offerings is a key requirement in today’s procurement processes. Purchasing managers have to make comprehensible selections among hundreds of alternatives considering several dozens of criteria. Selection problems like this are challenging, because they require the balancing of multiple, often conflicting objectives. Traditional approaches to multi-attrib...

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...

This paper applies a new multi attribute decision-making (MADM) model to help companies for enterprise resource planning (ERP) selection problem based on Balanced Score Card method. This paper uses three-parameter interval grey numbers which is derived from Grey theory (was proposed by J. Deng). This numbers is used instead of linguistic variables. Beside, a new weighting method that outcomes f...

Abstract We propound the idea of partitioned dual Maclaurin symmetric mean (PDMSM) operator stimulated by mean, suppose that we can partition overall attributes into some portions and are interrelated in same portion, but not different portions. deal with decision-making issues using PDMSM intuitionistic fuzzy environment. also analysis features peculiar instance operator. And, extend to introd...

In this paper, we investigate the multiple attribute decision making(MADM) problems for evaluating the security of wireless sensor networks with interval-valued intuitionistic fuzzy information. We utilize the interval-valued intuitionistic fuzzy hybrid geometric (IVIFHG) operator to aggregate the interval-valued intuitionistic fuzzy numbers corresponding to each alternative and derive the over...