Review

Institutional uncertainty in transitional and developing economies

  • Received: 24 November 2019 Accepted: 03 January 2020 Published: 10 January 2020
  • JEL Codes: D80, D91, K00, N23, P27, P51, Z10

  • The institutions improvement is one of principal conditions for the transitional and developing economies growth. This study on the bases of multidisciplinary approach investigates the necessity of using the concept "institutional uncertainty" in economic and social researching, proves that the institutional uncertainty exists as a result of imperfect knowledge of economic agents rooting in economic agents' mentality. The institutional uncertainty is an obligatory attribute of institutional environment, because institutions have capability to generate not only "certainty", but also "uncertainty", and "risks" for economic agents. The institutional uncertainty as Knightian uncertainty reflect the unpredictability of changes of institutional environment and basic institutions (ethic, ethnic, cultural, ideology, political, business and so on), and the unpredictability of it influences on economic agents' behavior. In this connection it needs to specify the institutional uncertainty from political risks and political uncertainty. Leading reasons of the institutional uncertainty are presented on the micro-level at performance of different types of incomplete contracts widespread in market and in pre-market economies. On the macro-level the concept of institutional uncertainty is reflecting not only unpredictability of institutional changes, but also uniqueness of combinations of driving forces of transition to new frames of economy and society. Some directions of using this concept at investigation of historic institutional changes and institutional changes in modern transitional and developing economies are considered in the last parts of the study.

    Citation: Kolomiets Andrey. Institutional uncertainty in transitional and developing economies[J]. National Accounting Review, 2020, 2(1): 66-82. doi: 10.3934/NAR.2020004

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  • The institutions improvement is one of principal conditions for the transitional and developing economies growth. This study on the bases of multidisciplinary approach investigates the necessity of using the concept "institutional uncertainty" in economic and social researching, proves that the institutional uncertainty exists as a result of imperfect knowledge of economic agents rooting in economic agents' mentality. The institutional uncertainty is an obligatory attribute of institutional environment, because institutions have capability to generate not only "certainty", but also "uncertainty", and "risks" for economic agents. The institutional uncertainty as Knightian uncertainty reflect the unpredictability of changes of institutional environment and basic institutions (ethic, ethnic, cultural, ideology, political, business and so on), and the unpredictability of it influences on economic agents' behavior. In this connection it needs to specify the institutional uncertainty from political risks and political uncertainty. Leading reasons of the institutional uncertainty are presented on the micro-level at performance of different types of incomplete contracts widespread in market and in pre-market economies. On the macro-level the concept of institutional uncertainty is reflecting not only unpredictability of institutional changes, but also uniqueness of combinations of driving forces of transition to new frames of economy and society. Some directions of using this concept at investigation of historic institutional changes and institutional changes in modern transitional and developing economies are considered in the last parts of the study.


    The interval analysis discipline addresses uncertainty using interval variables in contrast to variables in the form of points, the calculation results are reported as intervals, preventing mistakes that may lead to false conclusions. Despite its long history, Moore [1], used interval analysis for the first time in 1969 to analyze automatic error reports. This led to an improvement in calculation performance, which attracted many scholars' attention. Due to their ability to be expressed as uncertain variables, intervals are commonly used in uncertain problems, such as computer graphics [2], decision-making analysis [3], multi-objective optimization [4], and error analysis [5]. Consequently, interval analysis has produced numerous excellent results, and interested readers can consult. [6,7,8].

    Meanwhile, numerous disciplines, including economics, control theory, and optimization, use convex analysis and many scholars have studied it, see [9,10,11,12]. Recently, generalized convexity of interval-valued functions (IVFS) has received extensive research and has been utilized in a large number of fields and applications, see [13,14,15,16]. The (A, s)-convex and (A, s)-concave mappings describe the continuity of IVFS, as described by Breckner in [17]. Numerous inequalities have recently been established for IVFS. By applying the generalized Hukuhara derivative to IVFS, Chalco-Cano et al. [18] derived some Ostrowski-type inclusions. Costa [19], established Opial type inequalities for the generalized Hukuhara differentiable IVFS. In general, we can define a classical Hermite Hadamard inequality as follows:

    η(t+u2)1ututη(ν)dνη(t)+η(u)2. (1.1)

    Considering this inequality was the first geometrical interpretation of convex mappings in elementary mathematics, it has gained a lot of attention. The following are some variations and generalizations of this inequality, see [20,21,22,23]. Initially in 2007, Varoşanec [24] developed the notion of h-convex. Several authors have contributed to the development of inequalities based on H.H using h-convex functions, see [25,26,27,28]. The harmonically h-convex functions introduced by Noor [29], are important generalizations of convex functions. Here are some recent results relating to harmonically h-convexity, see [30,31,32,33,34,35]. At present, these results are derived from inclusion relations and interval LU-order relationships, both of which have significant flaws because these are partial order relations. It can be demonstrated the validity of the claim by comparing examples from the literature with those derived from these old relations. In light of this, determining how to use a total order relation to investigate convexity and inequality is crucial. As an additional observation, the interval differences between endpoints are much closer in examples than in these old partial order relations. Because of this, the ability to analyze convexity and inequalities using a total order relation is essential. Therefore, we will focus our entire paper on Bhunia et al. [36], (CR)- order relation. Using cr-order, Rahman [37], studied nonlinear constrained optimization problems with cr-convex functions. Based on the notions of cr-order relation, Wei Liu and his co-authors developed a modified version of H.H and Jensen-type inequalities for h-convex and harmonic h-convex functions by using center radius order relation, see [38,39].

    Theorem 1.1 (See [38]). Let η:[t,u]RI+. Consider h:(0,1)R+ and h(12)0. If ηSHX(cr-h,[t,u],RI+) and η IR[t,u], then

    12h(12)η(2tut+u)crutututη(ν)ν2dνcr[η(t)+η(u)]10h(x)dx. (1.2)

    In addition, a Jensen-type inequality was also proved with harmonic cr-h-convexity.

    Theorem 1.2 (See [38]). Let diR+, zi[t,u], η:[t,u]RI+. If h is super multiplicative and non-negative function and ηSHX(cr-h,[t,u],RI+). Then the inequality become as:

    η(11Dkki=1dizi)crki=1h(diDk)η(zi). (1.3)

    Using the h-GL function, Ohud Almutairi and Adem Kiliman have proven the following result in 2019, see [40].

    Theorem 1.3. Let η:[t,u]R. If η is h-Godunova-Levin function and h(12)0. Then

    h(12)2η(t+u2)1ututη(ν)dν[η(t)+η(u)]10dxh(x). (1.4)

    This study is unique in that it introduces a notion of interval-valued harmonical h-Godunova-Levin functions that are related to a total order relation, called Center-Radius order, which is novel in the literature. By incorporating cr-interval-valued functions into inequalities, this article opens up a new avenue of research in inequalities. In contrast to classical interval-valued analysis, cr-order interval-valued analysis follows a different methodology. Based on the concept of center and radius, we calculate intervals as follows: tc=t_+¯t2 and tr=¯tt_2, respectively, where ¯t and t_ are endpoints of interval t.

    Inspired by. [15,34,38,39,41], This study introduces a novel class of harmonically cr-h-GL functions based on cr-order. First, we derived some H.H inequalities, then we developed the Jensen inequality using this new class. In addition, the study presents useful examples in support of its conclusions.

    Lastly the paper is designed as follows: In section 2, preliminary information is provided. The key problems are described in section 3. There is a conclusion at the end of section 6.

    Some notions are used in this paper that aren't defined in this paper, see [38,41]. The collection of intervals is denoted by RI of R, while the collection of all positive intervals can be denoted by R+I. For νR, the scalar multiplication and addition are defined as

    t+u=[t_,¯t]+[u_,¯u]=[t_+u_,¯t+¯u]
    νt=ν.[t_,¯t]={[νt_,μ¯t],ifν>0,{0},ifν=0,[ν¯t,νt_],ifν<0,

    respectively. Let t=[t_,¯t]RI, tc=t_+¯t2 is called center of interval t and tr=¯tt_2 is said to be radius of interval t. In the case of interval t, this is the (CR) form

    t=(t_+¯t2,¯tt_2)=(tc,tr).

    An order relation between radius and center can be defined as follows.

    Definition 2.1. (See [25]). Consider t=[t_,¯t]=(tc,tr), u=[u_,¯u]=(uc,ur)RI, then centre-radius order (In short cr-order) relation is defined as

    tcru{tc<uc,tcuc,tcuc,tc=uc.

    Further, we represented the concept of Riemann integrable (in short IR) in the context of IVFS [39].

    Theorem 2.1 (See [39]). Let φ:[t,u]RI be IVF given by η(ν)=[η_(ν),¯η(ν)] for each ν[t,u] and η_,¯η are IR over interval [t,u]. In that case, we would call η is IR over interval [t,u], and

    utη(ν)dν=[utη_(ν)dν,ut¯η(ν)dν].

    All Riemann integrables (IR) IVFS over the interval should be assigned IR[t,u].

    Theorem 2.2 (See [39]). Let η,ζ:[t,u]R+I given by η=[η_,¯η], and ζ=[ζ_,¯ζ]. If η,ζIR[t,u], and η(ν)crζ(ν) ν[t,u], then

    utη(ν)dνcrutζνdν.

    See interval analysis notations for a more detailed explanation, see [38,39].

    Definition 2.2 (See [39]). Consider h:[0,1]R+. We say that η:[t,u]R+ is known harmonically h-convex function, or that ηSHX(h,[t,u],R+), if t1,u1[t,u] and ν[0,1], we have

    η(t1u1νt1+(1ν)u1) h(ν)η(t1)+h(1ν)η(u1). (2.1)

    If in (2.1) replaced with it is called harmonically h-concave function or ηSHV(h,[t,u],R+).

    Definition 2.3. (See [27]). Consider h:(0,1)R+. We say that η:[t,u]R+ is known as harmonically h-GL function, or that ηSGHX(h,[t,u],R+), if t1,u1[t,u] and ν(0,1), we have

    η(t1u1νt1+(1ν)u1)η(t1)h(ν)+η(u1)h(1ν). (2.2)

    If in (2.2) replaced with it is called harmonically h-Godunova-Levin concave function or ηSGHV(h,[t,u],R+).

    Now let's look at the IVF concept with respect to cr-h-convexity.

    Definition 2.4 (See [39]) Consider h:[0,1]R+. We say that η=[η_,¯η]:[t,u]R+I is called harmonically cr-h-convex function, or that ηSHX(cr-h,[t,u],R+I), if t1,u1[t,u] and ν[0,1], we have

    η(t1u1νt1+(1ν)u1)cr h(ν)η(t1)+h(1ν)η(u1). (2.3)

    If in (2.3) cr replaced with cr it is called harmonically cr-h-concave function or ηSHV(cr-h,[t,u],R+I).

    Definition 2.5. (See [39]) Consider h:(0,1)R+. We say that η=[η_,¯η]:[t,u]R+I is called harmonically cr-h-Godunova-Levin convex function, or that ηSGHX(cr-h,[t,u],R+I), if t1,u1[t,u] and ν(0,1), we have

    η(t1u1νt1+(1ν)u1)crη(t1)h(ν)+η(u1)h(1ν). (2.4)

    If in (2.4) cr replaced with cr it is called harmonically cr-h-Godunova-Levin concave function or ηSGHV(cr-h,[t,u],R+I).

    Remark 2.1.

    (i) If h(ν)=1, in this case, Definition 2.5 becomes a harmonically cr-P-function [28].

    (ii) If h(ν)=1h(ν), in this case, Definition 2.5 becomes a harmonically cr h-convex function [28].

    (iii) If h(ν)=ν, in this case, Definition 2.5 becomes a harmonically cr-Godunova-Levin function [28].

    (iv) If h(ν)=1νs, in this case, Definition 2.5 becomes a harmonically cr-s-convex function [28].

    (v) If h(ν)=νs, in this case, Definition 2.5 becomes a harmonically cr-s-GL function [28].

    Proposition 3.1. Define h1,h2:(0,1)R+ functions that are non-negative and

    1h21h1,ν(0,1).

    If ηSGHX(cr-h2,[t,u],RI+), then ηSGHX(cr-h1,[t,u],RI+).

    Proof. Since ηSGHX(cr-h2,[t,u],RI+), then for all t1,u1[t,u],ν(0,1), we have

    η(t1u1νt1+(1ν)u1)crη(t1)h2(ν)+η(u1)h2(1ν)
    crη(t1)h1(ν)+η(u1)h1(1ν).

    Hence, ηSGHX(cr-h1,[t,u],RI+).

    Proposition 3.2. Let η:[t,u]RI given by [η_,¯η]=(ηc,ηr). If ηc and ηr are harmonically h-GL over [t,u], then η is known as harmonically cr-h-GL function over [t,u].

    Proof. Since ηc and ηr are harmonically h-GL over [t,u], then for each ν(0,1) and for all t1,u1[t,u], we have

    ηc(t1u1νt1+(1ν)u1)crηc(t1)h(ν)+ηc(u1)h(1ν),

    and

    ηr(t1u1νt1+(1ν)u1)crηr(t1)h(ν)+ηr(u1)h(1ν).

    Now, if

    ηc(t1u1νt1+(1ν)u1)ηc(t1)h(ν)+ηc(u1)h(1ν),

    then for each ν(0,1) and for all t1,u1[t,u],

    ηc(t1u1νt1+(1ν)u1)<ηc(t1)h(ν)+ηc(u1)h(1ν).

    Accordingly,

    ηc(t1u1νt1+(1ν)u1)crηc(t1)h(ν)+ηc(u1)h(1ν).

    Otherwise, for each ν(0,1) and for all t1,u1[t,u],

    ηr(t1u1νt1+(1ν)u1)ηr(t1)h(ν)+ηr(u1)h(1ν)η(t1u1νt1+(1ν)u1)crη(t1)h(ν)+η(u1)h(1ν).

    Based on all the above, and Definition 2.1, this can be expressed as follows:

    η(t1u1νt1+(1ν)u1)crη(t1)h(ν)+η(u1)h(1ν)

    for each ν(0,1) and for all t1,u1[t,u].

    This completes the proof.

    This section developed the H.H inequalities for harmonically cr-h-GL functions.

    Theorem 4.1. Consider h:(0,1)R+ and h(12)0. Let η:[t,u]RI+, if ηSGHX(cr-h,[t,u],RI+) and η IR[t,u], we have

    [h(12)]2f(2tut+u)crtuututη(ν)ν2dνcr[η(t)+η(u)]10dxh(x). (4.1)

    Proof. Since ηSGHX(cr-h,[t,u],RI+), we have

    h(12)η(2tut+u)crη(tuxt+(1x)u)+η((tu1x)t+xu).

    On integration over (0,1), we have

    h(12)η(2tut+u)cr[10η(tuxt+(1x)u)dx+10η(tu(1x)t+xu)dx]=[10η_(tuxt+(1x)u)dx+10η_(tu(1x)t+xu)dx,10¯η(tuxt+(1x)u)dx+10¯η(tu(1x)t+xu)dx]=[2tuututη_(ν)ν2dν,2tuutut¯η(ν)ν2dν]=2tuututη(ν)ν2dν. (4.2)

    By Definition 2.5, we have

    η(tuxt+(1x)u)crη(t)h(x)+η(u)h(1x).

    On integration over (0, 1), we have

    10η(tuxt+(1x)u)dxcrη(t)10dxh(x)+η(u)10dxh(1x).

    Accordingly,

    utututη(ν)ν2dνcr[η(t)+η(u)]10dxh(x). (4.3)

    Adding (4.2) and (4.3), results are obtained as expected

    h(12)2η(2tut+u)crutututη(ν)ν2dνcr[η(t)+η(u)]10dxh(x).

    Remark 4.1.

    (i) If h(x)=1, in this case, Theorem 4.1 becomes result for harmonically cr- P-function:

    12η(2tut+u)crutututη(ν)ν2dνcr[η(t)+η(u)].

    (ii) If h(x)=1x, in this case, Theorem 4.1 becomes result for harmonically cr-convex function:

    η(2tut+u)crutututη(ν)ν2dνcr[η(t)+η(u)]2.

    (iii) If h(x)=1(x)s, in this case, Theorem 4.1 becomes result for harmonically cr-s-convex function:

    2s1η(2tut+u)crutututη(ν)ν2dνcr[η(t)+η(u)]s+1.

    Example 4.1. Let [t,u]=[1,2], h(x)=1x, x (0,1). η:[t,u]RI+ is defined as

    η(ν)=[1ν4+2,1ν4+3],

    where

    h(12)2η(2tut+u)=η(43)=[431256,849256],
    utututη(ν)ν2dν=2[21(2ν41ν6)dν,21(3ν4+1ν6)dν]=[258160,542160],
    [η(t)+η(u)]10dxh(x)=[478,1138].

    As a result,

    [431256,849256]cr[258160,542160]cr[478,1138].

    Thus, proving the theorem above.

    Theorem 4.2. Consider h:(0,1)R+ and h(12)0. Let η:[t,u]RI+, if ηSGX(cr-h,[t,u],RI+) and η IR[t,u], we have

    [h(12)]24η(2tut+u)cr1cr1ututη(ν)ν2dνcr2
    cr{[η(t)+η(u)][12+1h(12)]}10dxh(x),

    where

    1=[h(12)]4[η(4tu3t+u)+η(4tu3u+t)],
    2=[η(2tut+u)+η(t)+η(u)2)]10dxh(x).

    Proof. Consider [t,t+u2], we have

    η(4tut+3u)crη(t2tut+uxt+(1x)2tut+u    )[h(12)]+η(t2tut+u(1x)t+x2tut+u    )[h(12)].

    Integration over (0,1), we have

    [h(12)]4η(4tuu+3t)crutut2tut+uuη(ν)ν2dν. (4.4)

    Similarly for interval [t+u2,u], we have

    [h(12)]4η(4tut+3u)crututt2tut+uη(ν)ν2dν. (4.5)

    Adding inequalities (4.4) and (4.5), we get

    1=[h(12)]4[η(4tuu+3t)+η(4utt+3u)]crutututη(ν)ν2dν.

    Now

    [h(12)]24η(2tut+u)=[h(12)]24η(12(4tu3u+t)+12(4tu3t+u))cr[h(12)]24[η(4tuu+3t)h(12)+η(4tu3u+t)h(12)]=[h(12)]4[η(4tuu+3t)+η(4tu3u+t)]=1crututtuη(ν)ν2dνcr12[η(t)+η(u)+2η(2tut+u)]10dxh(x)=2cr[η(t)+η(u)2+η(t)h(12)+η(u)h(12)]10dxh(x)cr[η(t)+η(u)2+1h(12)[η(t)+η(u)]]10dxh(x)cr{[η(t)+η(u)][12+1h(12)]}10dxh(x).

    Example 4.2. Thanks to example 4.1, we have

    [h(12)]24η(2tut+u)=η(43)=[431256,849256],
    1=12[η(85)+η(87)]=[66794096,138014096],
    2=[η(1)+η(2)2+η(43)]10dxh(x),
    2=[1935512,4465512],
    {[η(t)+η(u)][12+1h(12)]}10dxh(x)=[478,1138].

    Thus, we obtain

    [431256,849256]cr[66794096,138014096]cr[258160,542160]cr[1935512,4465512]cr[478,1138].

    This proves the above theorem.

    Theorem 4.3. Let η,ζ:[t,u]RI+,h1,h2:(0,1)R+ such that h1,h20. If ηSGHX(cr -h1,[t,u],RI+), ζSGHX(cr-h2,[t,u],RI+) and η,ζ IR[v,w] then, we have

    utututη(ν)ζ(ν)ν2dνcrM(t,u)101h1(x)h2(x)dx+N(t,u)101h1(x)h2(1x)dx, (4.6)

    where

    M(t,u)=η(t)ζ(t)+η(u)ζ(u),N(t,u)=η(t)ζ(u)+η(u)ζ(t).

    Proof. Conider ηSGHX(cr-h1,[t,u],RI+), ζSGHX(cr-h2,[t,u],RI+) then, we have

    η(tutx+(1x)u)crη(t)h1(x)+η(u)h1(1x),
    ζ(tutx+(1x)u)crζ(t)h2(x)+ζ(u)h2(1x).

    Then,

    η(tutx+(1x)u)ζ(tutx+(1x)u)
    crη(t)ζ(t)h1(x)h2(x)+η(t)ζ(u)h1(x)h2(1x)+η(u)ζ(t)h1(1x)h2(x)+η(u)ζ(u)h1(1x)h2(1x).

    Integration over (0, 1), we have

    10η(tutx+(1x)u)ζ(tutx+(1x)u)dx=[10η_(tutx+(1x)u)ζ_(tutx+(1x)u)dx,10¯η(tutx+(1x)u)¯ζ(tutx+(1x)u)dx]=[utututη_(ν)ζ_(ν)ν2dν,ututut¯η(ν)¯ζ(ν)ν2dν]=utututη(ν)ζ(ν)ν2dνcr10[η(t)ζ(t)+η(u)ζ(u)]h1(x)h2(x)dx+10[η(t)ζ(u)+η(u)ζ(t)]h1(x)h2(1x)dx.

    It follows that

    utututη(ν)ζ(ν)ν2dνcrM(t,u)101h1(x)h2(x)dx+N(t,u)101h1(x)h2(1x)dx.

    Theorem is proved.

    Example 4.3. Let [t,u]=[1,2], h1(x)=h2(x)=1x x (0,1). η,ζ:[t,u]RI+ be defined as

    η(ν)=[1ν4+2,1ν4+3],ζ(ν)=[1ν+1,1ν+2].

    Then,

    utututη(ν)ζ(ν)ν2dν=[282640,5986640],M(t,u)101h1(x)h2(x)dx=M(1,2)10x2dx=[3196,62996],N(t,u)101h1(x)h2(1x)dx=N(1,2)10(xx2)dx=[112,30796].

    It follows that

    [282640,5986640]cr[3196,62996]+[112,30796]=[1332,394].

    This proves the above theorem.

    Theorem 4.4. Let η,ζ:[t,u]RI+,h1,h2:(0,1)R+ such that h1,h20. If ηSGHX(cr-h1,[t,u],RI+), ζSGHX(cr-h2,[t,u],RI+) and η,ζ IR[v,w] then, we have

    h1(12)h2(12)2η(2tut+u)ζ(2tut+u)crutututη(ν)ζ(ν)ν2dμ+M(t,u)101h1(x)h2(1x)dx+N(t,u)101h1(x)h2(x)dx.

    Proof. Since ηSGHX(cr-h1,[t,u],RI+), ζSGHX(cr-h2,[t,u],RI+), we have

    η(2tut+u)crη(tutx+(1x)u)h1(12)+η(tut(1x)+xu)h1(12),ζ(2tut+u)crζ(tutx+(1x)u)h2(12)+ζ(tut(1x)+xu)h2(12).

    Then,

    η(2tut+u)ζ(2tut+u)cr1h1(12)h2(12)[η(tutx+(1x)u)ζ(tutx+(1x)u)+η(tut(1x)+xu)ζ(tut(1x)+xu)]+1h1(12)h2(12)[η(tutx+(1x)u)ζ(tut(1x)+xu)+η(tut(1x)+xu)ζ(tutx+(1x)u)]cr1h1(12)h2(12)[η(tutx+(1x)u)ζ(tutx+(1x)u)+η(tut(1x)+xu)ζ(tut(1x)+xu)]+1h1(12)h2(12)[(η(t)h1(x)+η(u)h1(1x))(ζ(u)h2(1x)+ζ(u)h2(x))+(η(t)h1(1x)+η(u)h1(x))(ζ(t)h2(x)+ζ(u)h2(1x))]cr1h1(12)h2(12)[η(tutx+(1x)u)ζ(tutx+(1x)u)+η(tut(1x)+ux)ζ(tut(1x)+ux)]+1h1(12)h2(12)[(1h1(x)h2(1x)+1h1(1x)h2(x))M(t,u)+(1h1(x)h2(x)+1h1(1x)h2(1x))N(t,u)].

    Integration over (0,1), we have

    10η(2tut+u)ζ(2tut+u)dx=[10η_(2tut+u)ζ_(2tut+u)dx,10¯η(2tut+u)¯ζ(2tut+u)dx]=η(2tut+u)ζ(2tut+u)dxcr2h1(12)h2(12)[utututη(ν)ζ(ν)ν2dν]+2h(12)h(12)[M(t,u)101h1(x)h2(1x)dx+N(t,u)101h1(x)h2(x)dx].

    Multiply both sides by h1(12)h2(12)2 above equation, we get required result

    h1(12)h2(12)2η(2tut+u)ζ(2tut+u)crutututη(ν)ζ(ν)ν2dμ+M(t,u)101h1(x)h2(1x)dx+N(t,u)101h1(x)h2(x)dx.

    Example 4.4. Let [t,u]=[1,2], h1(x)=h2(x)=1x, x (0,1). η,ζ:[t,u]RI+ be defined as

    η(ν)=[1ν4+2,1ν4+3],ζ(ν)=[1ν+1,1ν+2].

    Then,

    h1(12)h2(12)2η(2tut+u)ζ(2tut+u)=2η(43)ζ(43)=[431512,9339512],utututη(ν)ζ(ν)ν2dν=[282640,5986640],M(t,u)101h1(x)h2(1x)dx=M(1,2)10(xx2)dx=[31192,629192],N(t,u)101h1(x)h2(x)dx=N(1,2)10x2dx=[16,30748].

    It follows that

    [431512,9339512]cr[282640,5986640]+[31192,629192]+[16,30748]=[123160,76140].

    This proves the above theorem.

    Theorem 5.1. Let diR+, zi[t,u]. If h is non-negative and super multiplicative function or ηSGHX(cr-h,[t,u],RI+). Then the inequality become as :

    η(11Dkki=1dizi)crki=1[η(zi)h(diDk)], (5.1)

    where Dk=ki=1di.

    Proof. If k=2, inequality (5.1) holds. Assume that inequality (5.1) also holds for k1, then

    η(11Dkki=1dizi)=η(1dkDkzk+k1i=1diDkzi)=η(1dkDkzk+Dk1Dkk1i=1diDk1zi)crη(zk)h(dkDk)+η(k1i=1diDk1zi)h(Dk1Dk)crη(zk)h(dkDk)+k1i=1[η(zi)h(diDk1)]1h(Dk1Dk)crη(zk)h(dkDk)+k1i=1[η(zi)h(diDk)]crki=1[η(zi)h(diDk)].

    Therefore, the result can be proved by mathematical induction.

    Remark 5.1.

    (i) If h(x)=1, in this case, Theorem 5.1 becomes result for harmonically cr- P-function:

    η(11Dkki=1dizi)crki=1η(zi).

    (ii) If h(x)=1x, in this case, Theorem 5.1 becomes result for harmonically cr-convex function:

    η(11Dkki=1dizi)crki=1diDkη(zi).

    (iii) If h(x)=1(x)s, in this case, Theorem 5.1 becomes result for harmonically cr-s-convex function:

    η(11Dkki=1dizi)crki=1(diDk)sη(zi).

    This study presents a harmonically cr-h-GL concept for IVFS. Using this new concept, we study Jensen and H.H inequalities for IVFS. This study generalizes results developed by Wei Liu [38,39] and Ohud Almutairi [34]. Several relevant examples are provided as further support for our basic conclusions. It might be interesting to determine equivalent inequalities for different types of convexity in the future. Under the influence of this concept, a new direction begins to emerge in convex optimization theory. Using the cr-order relation, we will study automatic error analysis with intervals and apply harmonically cr-h-GL functions to optimize problems. Using this concept, we aim to benefit and advance the research of other scientists in various scientific disciplines.

    This research received funding support from the NSRF via the Program Management Unit for Human Resources and Institutional Development, Research and Innovation (Grant number B05F650018).

    The authors declare that there is no conflicts of interest in publishing this paper.



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