Degree of Project Utility and Investment Value Assessments

Abstract

This article recommends a new INVAR Method for a multiple criteria analysis (Degree of Project Utility and Investment Value Assessments along with Recommendation Provisions). Its use can be for a sustainable building assessment. The INVAR Method can additionally assist in determining the investment value of a project under deliberation and provide digital recommendations for improving projects. Furthermore, the INVAR Method can optimize the selected criterion seeking that the project under deliberation would be equally competitive in the market, as compared to the other projects under comparison. The INVAR Method is additionally able to calculate the value that the project under deliberation should be for this project to become the best among those under deliberation. The case studies presented in this research are for demonstrating this developed method.

A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments

“…First, this review is focused on the use of the MCDM utility determining approaches rather than the old MCDM techniques. WASPAS and SWARA methods [225] can be adapted to the development of hybrid MCDM meth- ods such as ARAS, EDAS [226][227][228][229], Investment Value Assessments along with Recommendations (INVAR) [230], CODAS [231,232], Fuzzy Ranking and Aggregated Weights (AFRAW) [233], MULTI-MOORA and MOORA [234][235][236][237][238]. The concept of the neutrosophic set developed by Smarandache is a set model which generalizes the classic set, fuzzy set, interval fuzzy set, intuitionistic fuzzy set and interval valued intuitionistic fuzzy set.…”

INVAR Neuromarketing Method and System

“…This research integrates Damasio's Somatic marker hypothesis (Damasio, 1994), statistical analysis (LOGIT, KNN, MBP, RBP), biometric methods and systems (Kaklauskas et al, 2018a;Kaklauskas, 2015), the neuro-questionnaire method and system (Kaklauskas et al, 2018b), and multiple criteria analysis methods and decision support systems (Kaklauskas, 2015;Kaklauskas, 2016, Kaklauskas, 1999 The INVAR Neuromarketing method and system allows stakeholders to determine: a) the effectiveness of a video ad and its individual frames; b) which video ads and frames have made the strongest impression and caused the most intense feelings; c) the effect of a video ad on the short-term and long-term memory; d) ad frames that have made viewers most happy, sad, angry, surprised, scared, disgusted, bored, interested or confused; e) the most positive or negative video ad; f) physiological states (medium breathing and heart rates, pupil sizes, facial temperature), valence and arousal when viewing brandexposing ad frames; and g) advertisements where physiological states, happiness and interest are rising/falling throughout the advertisement. The System also offers tips on ways to make video ads more effective (see Chapter 2).…”

An Evaluation System for University–Industry Partnership Sustainability: Enhancing Options for Entrepreneurial Universities

“…These are: (1) awareness, which includes career fairs and interviews; (2) involvement, which is related to industry affiliates, advisory programs, research grants, internships, and software grants; (3) support, which has to do with student consultancy, hardware grants, curriculum development, workshops and seminars, student organisation sponsorships, philanthropic support, and guest speaking/lectures; (4) sponsorship, which relates to university initiative sponsorships, undergraduate research program support, graduate fellowships, collaborative research programs, outreach programs, and support for education proposals; and (5) strategic partners, which involves executive sponsorships, joint partnerships, state education lobbying, major gifts, and business development. The author's proposal was later adapted by Kaklauskas [26], Zavadskas and Kaklauskas [51], Kanapeckienė et al [52] and Urbanavičienė et al [53]. This allowed a sequence of methodological procedures to be followed in order to address some of the limitations of the current UIPS evaluation systems.…”