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...

Marketing establishes a communication network between producers and consumers. Nowadays, marketing approach is customer-focused and products are directly oriented to meet customer needs. Marketing, which is a long process, needs organization and management. Therefore strategic marketing planning becomes more and more important in today’s competitive conditions. Main focus of this paper is to ev...

This paper describes an interactive visualisation tool, LinMap, for exploring the structure of complexity gradients in evolutionary landscapes. LinMap is a computationally efficient and intuitive tool for visualising and exploring multidimensional parameter spaces. An artificial cell lineage model is presented that allows complexity to be quantified according to several different developmental ...

This article describes an interactive visualization tool, LinMap, for exploring the structure of complexity gradients in evolutionary landscapes. LinMap is a computationally efficient and intuitive tool for visualizing and exploring multidimensional parameter spaces. An artificial cell lineage model is presented that allows complexity to be quantified according to several different developmenta...

one of the most important requirements of developing appropriate strategies for international marketing is correct identification of target markets. using quantitative techniques and decision making skills will lead to better results regarding the evaluation of marketing strategies. in this study, first we have used internal factor evaluation (ife) matrix for recognizing and comparing strengths...

Abstract This study proposes three new versions of the well-known linear programming technique for multidimensional preference analysis (LINMAP). LINMAP addresses multi-criteria decision problem by analyzing individual differences in preferences relation to a set prespecified incentives attribute space. The proposed models satisfy decision-maker’s specific needs, such as determining fixed numbe...

The linear programming technique for multidimensional analysis of preference (LINMAP) is one of the well-known methods for multiple attribute group decision making (MAGDM). In this paper, we extend the LINMAP method to solve MAGDM problems in interval-valued intuitionistic fuzzy environment in which all the preference information provided by the decisionmakers is presented as interval-valued in...

Linear programming-based estimation procedures are used in a variety of arenas. Two notable areas are multi-attribute utility models (LINMAP) and production frontiers (Data Envelopment Analysis, DEA). Both LINMAP and DEA have theoretical and managerial advantages. For example, LINMAP treats ordinal scaled preference data as such in uncovering individual level attribute weights, while regression...

The Linear Programming Technique for Multidimensional Analysis of Preference (LINMAP) developed by Srinivasan and Shocker [V. Srinivasan, A.D. Shocker, Linear programming techniques for multidimensional analysis of preference, Psychometrika 38 (1973) 337–342] is one of the existing well-known methods for multiattribute decision making (MADM) problems. However, the LINMAP only can deal with MADM...